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Encyclopedia results for Decision tree

Decision tree





Encyclopedia results for Decision tree

  1. Decision tree

    about decision trees in decision analysis the use of the term in machine learning Decision tree learning A decision tree is a decision support tool that uses a tree like Diagram graph or Causal model model ... incomplete knowledge, a decision tree should be paralleled by a Probability model as a best choice model or online selection model algorithm . Another use of decision trees is as a descriptive means for calculating conditional probability conditional probabilities . General Image Manual decision tree.jpg right Traditionally, decision trees have been created manually. In decision analysis , a decision tree and the closely related influence diagram is used as a visual and analytical decision support .... A decision tree consists of 3 types of nodes 1. Decision nodes commonly represented by squares br 2. Chance nodes represented by circles br 3. End nodes represented by triangles Image Decision Tree Elements.png Image with unknown copyright status removed Image Decision Tree Elements.png deletable image caption 1 Thursday, 17 July 2008 Drawn from left to right, a decision tree has only burst nodes ... . Influence diagram A decision tree can be represented more compactly as an influence diagram, focusing ... decision tree models after a brief explanation. Have value even with little hard data. Important ... decision Insight.png See also Multicol Decision tables Decision tree complexity Decision tree ... trees ?p 6 5 Myths About Decision Tree Analysis in Litigation deadlink date April 2012 http www.mindtools.com pages article newTED 04.htm Decision Tree Analysis mindtools.com http gunston.gmu.edu healthscience ... kirkwood DAStuff decisiontrees index.html Extensive Decision Tree tutorials and examples cite ... DEFAULTSORT Decision Tree Category Decision trees Category Decision theory bg ... costs, and utility . It is one way to display an algorithm . Decision trees are commonly used in operations research , specifically in decision analysis , to help identify a strategy most likely ...   more details



  1. Decision tree learning

    about decision trees in machine learning the use of the term in decision analysis Decision tree Decision tree learning , used in statistics , data mining and machine learning , uses a decision tree as a Predictive ... conjunction s of features that lead to those class labels. In decision analysis, a decision tree ... for decision making . This page deals with decision trees in data mining . General Image CART tree ... and the percentage of observations in the leaf. Decision tree learning is a method commonly used ... use more than one decision tree for their analysis A Random forest Random Forest classifier uses ... Verlag. ref Rotation forest in which every decision tree is trained by first applying principal ... entropy used in information theory . math I E f sum m i 1 f i log 2 f i math Decision tree advantages ... and interpret. People are able to understand decision tree models after a brief explanation. Requires ... decision tree is known to be NP complete under several aspects of optimality and even for simple concepts ..., practical decision tree learning algorithms are based on heuristic algorithms such as the greedy ... to return the globally optimal decision tree. Decision tree learners can create over complex ... , parity bit Parity parity or multiplexer problems. In such cases, the decision tree becomes ... 293 300 ref Extensions Decision graphs In a decision tree, all paths from the root node to the leaf ... local optimal decisions and search the decision tree space with little a priori bias. ref Papagelis ... xpls abs all.jsp?arnumber 5928432 A Survey of Evolutionary Algorithms for Decision Tree .... 42, n. 3, p. 291 312, May 2012. ref See also Decision tree pruning Decision tree pruning Binary decision ... decision tree Alternating decision tree Structured data analysis statistics Implementations Weka machine learning Weka , a free and open source data mining suite, contains many decision tree algorithms ... index.html Decision tree implementation in Ruby AI4R DEFAULTSORT Decision Tree Learning ...   more details



  1. Decision tree model

    process is considered to be basically a decision tree , i.e., a sequence of branching operations ... queries, therefore it is described as a binary tree. Several variants of decision tree models may be considered ... complexity of a problem or an algorithm expressed in terms of the decision tree model is called decision tree complexity or query complexity . Classification by query computational complexity Simple decision tree The model in which every decision is based on the comparison of two numbers within constant time is called simply a decision tree model. It was introduced to establish computational ..., such as mergesort and heapsort , demonstrates that the bound is tight. Linear decision tree Empty section date January 2011 Algebraic decision tree Empty section date January 2011 Classification by query computational model Deterministic decision tree If the output of a decision tree is math f x math , for all math x in 0,1 n math , the decision tree is said to compute math f math . The depth ... obtained. math D f math , the deterministic decision tree complexity of math f math is the smallest depth among all deterministic decision trees that compute math f math . Randomized decision tree One way to define a randomized decision tree is to add additional nodes to the tree, each controlled by a probability math p i math . Another equivalent definition is to select a whole decision tree at the beginning ... depth randomized decision tree whose result is math f x math with probability at least math ... as the Monte Carlo algorithm Monte Carlo randomized decision tree complexity, because the result is allowed to be incorrect with bounded two sided error. The Las Vegas algorithm Las Vegas decision tree complexity math R 0 f math measures the expected depth of a decision tree that must be correct i.e. ... decision tree The nondeterministic decision tree complexity of a function is known more ... with certainty. Quantum decision tree The quantum decision tree complexity math Q 2 f math is the depth ...   more details



  1. Alternating decision tree

    An alternating decision tree ADTree is a machine learning method for classification. It generalizes Decision tree learning decision trees and has connections to boosting . History ADTrees were introduced by Yoav Freund and Llew Mason. ref name Freund99 Yoav Freund and Llew Mason. The Alternating Decision Tree Algorithm. Proceedings of the 16th International Conference on Machine Learning, pages 124 ... classified instances are given reduced weight. Alternating decision tree structure An alternating decision tree consists of decision nodes and prediction nodes. Decision nodes specify a predicate ... decision tree algorithm are A set of inputs math x 1,y 1 , ldots, x m,y m math where ... JBoost software implementing ADTrees. DEFAULTSORT Alternating Decision Tree Category Decision ... of Alternating Decision Trees. Proceedings of the Fifth Pacific Asia Conference on Advances in Knowledge ... learning Weka and JBoost. Motivation Original boosting algorithms typically used either decision stump s or decision trees as weak hypotheses. As an example, boosting decision stump s creates a set of math T math weighted decision stumps where math T math is the number of boosting iterations , which then vote on the final classification according to their weights. Individual decision stumps are weighted .... Alternating decision trees introduce structure to the set of hypotheses by requiring that they build ... be visualized in a tree based on the relationship between a hypothesis and its parent. Another important ... and leaves. An instance is classified by an ADTree by following all paths for which all decision ... trees such as CART Classification and regression tree or C4.5 in which an instance follows only one path through the tree. Example The following tree was constructed using JBoost on the spambase ... ability. Sets of nodes on the same path may be interpreted as having a joint effect The tree ... math The algorithm is as follows 1 function ad tree 2 input Set of math m math training instances 3 ...   more details



  1. Incremental decision tree

    Most Decision tree learning decision tree methods take a complete data set and build a tree using that data. This tree cannot be changed if new data is acquired later. Incremental decision trees are built using methods that allow an existing tree to be updated or revised using new, individual data instances ... Here is a short list of incremental decision tree methods, organized by their usually non incremental ... trees. Belmont, CA Wadsworth International Group. ref 1984 is a nonincremental decision tree inducer ... ref See also Decision tree learning Decision tree Online learning Concept drift Machine Learning ... dm vfml DEFAULTSORT Incremental Decision Tree Category Decision trees ... tree is built, b the original data set is too large to process, or c the characteristics of the data ... ID3 algorithm ID3 1986 ref Quinlan, J. R. 1986 Induction of Decision Trees. Machine Learning 1 1 , 81 ... Academic Press. ref The ID3 family of tree inducers was developed in the engineering and computer ... is acquired, an entirely new tree is induced using ID3. ID4 1986 ref name Schlimmer, J. C. 1986 pp. 496 .... ref didn t discard subtrees, but also did not guarantee that it would produce the same tree as ID3. ID5R 1989 ref Utgoff, P. E. 1989 Incremental induction of decision trees. Machine Learning 4, 161 186. ref output the same tree as ID3 for a dataset regardless of the incremental training order. This was accomplished by recursively updating the tree s subnodes. It did not handle numeric variables ..., P. 2007 ID6MDL Post Pruning Incremental Decision Trees. ref an extended version of the ID3 or ID5R algorithms. ITI 1997 ref Utgoff, P. E., Berkman, N. C., & Clouse, J. A. 1997 Decision tree induction based on efficient tree restructuring. Machine Learning 29, 5 44. ref is an efficient method for incrementally inducing decision trees. The same tree is produced for a dataset regardless of the data s presentation order, or whether the tree is induced incrementally or non incrementally batch mode ...   more details



  1. Decision

    Wiktionary A decision is the selection between possible actions. A choice is the selection between two or more objects. The term decision may refer to A song by Busta Rhymes featuring Jamie Foxx , Mary J. Blige , John Legend and Common rapper Common from the album Back on My B.S. . Decision baseball , a statistical credit earned by a baseball pitcher. Decision making Decision support system Decision theory Decision tree Decisions album Decisions album a 1984 album by the George Adams musician George Adams Don Pullen Quartet. Decisions professional wrestling , a means by which a wrestler scores a point against his opponent. European Union decision Judgment law , as the outcome of a legal case Landmark decision is the outcome of a case which sets a legal precedent Per curiam decision by a court with multiple judges See also discernment Decidable disambiguation Decision making software Decision sciences Judgment disambig de Entscheidung Begriffskl rung es Decisi n lt Sprendimas nl Besluit ja pl Decyzja simple Decision sv Beslut ...   more details



  1. The Decision

    About a play by Bertolt Brecht the Animorphs book The Decision Animorphs the LeBron James free agency decision The Decision LeBron James Infobox Play name The Decision image image size caption writer Bertolt Brecht chorus characters mute setting premiere Start date 1930 12 10 df yes place orig lang German language German series subject genre Lehrst ck web playbill ibdb id iobdb id The Decision Die Ma nahme , also known as The Measures Taken , is a Lehrst cke Lehrst ck by the twentieth century Germany German dramatist Bertolt Brecht . Written in collaboration with Slatan Dudow and the composer Hanns Eisler , it consists of eight sections in prose and unrhymed, irregular Free verse verse , with six major songs. A note to the text by all three collaborators describes it as an attempt to use a didactic piece to make familiar an attitude of positive intervention. ref name willett Willett 1959 ..., to whom they have been telling their story, reassuring them that have made the correct decision ... p Is needed if our world is to be altered. Bertolt Brecht The Decision scene eight . Production history The Decision received its first theatrical production at the Gro es Schauspielhaus in Berlin , opening ... who ran Brecht s Berliner Ensemble for a short time, reworked The Decision in his plays The Mission ... berliner zeitung , June 6, 2007. ref The Decision and the F.B.I. The F.B.I. translated ... brecht1a.pdf file . ref The Decision and the House Committee on Un American Activities Brecht appeared ... 2010 Brecht was asked specific questions about The Decision. He said it was an adaption of an old ... and his answers. ref name ReferenceA Examples of his Testimony About The Decision quotation Brecht ... York Routledge, 1996. ISBN 0 415 91282 2. . 1997. The Decision. In Collected Plays Three. Ed. and trans ... 2003 11 decision review.shtml The Decision Burton Taylor Theatre http magazines.documenta.de attachment ... watch?v jYPqSiZs4MU DEFAULTSORT Decision, The Category Plays by Bertold Brecht Category Lehrst cke ...   more details



  1. Decision rules

    A set of decision rules is the verbal equivalent of a graphical decision tree , which specifies class membership based on a hierarchical sequence of contingent decisions. Each rule in a set of decision rules therefore generally takes the form of a Horn clause wherein class membership is implied by a conjunction of contingent observations. IF math condition 1 math AND math condition 2 math AND ... AND math condition n math THEN CLASS math class i math where math condition j math is in general contingent on the choice of math condition j 1 math . Decision rules can be transcribed from the corresponding decision tree, or can be induced directly from observations. Decision rules are commonly used in the medical field. For example, the Ottawa Ankle Rules guide obtaining radiographs for traumatic ankle pain. See also Category Decision trees Category Machine learning comp sci stub ...   more details



  1. Decision list

    Decision lists are a representation for Boolean functions ref Rivest R. 1987 Learning decision lists Machine Learning pp. 229 246 ref . Single term decision lists are more expressive than disjunctions and conjunctions , however 1 term decision lists are less expressive than the general disjunctive normal form and the conjunctive normal form . The language specified by a k length decision list includes as a subset the language specified by a k depth decision tree . Learning decision lists can be used for attribute efficient learning ref A. Klivans and R. Servedio. 2004 Toward Attribute Efficient Learning of Decision Lists and Parities. Seventeenth Annual Conference on Computational Learning Theory COLT , 2004, pp. 234 248. ref . Definition A decision list DL of length math r math is of the form if math f 1 math then output math b 1 math else if math f 2 math then output math b 2 math ... else if math f r math then output math b r math where math f i math is the math i math th formula and math b i math is the math i math th boolean for math i in 1...r math . The last if then else is the default case, which means formula math f r math is always equal to true. A math k math DL is a decision list where all of formulas have at most math k math terms. Sometimes decision list is used to refer to a 1 DL, where all of the formulas are either a variable or its negation. References references Category Artificial intelligence Category Machine learning AI stub ...   more details



  1. Decision stump

    File Decision stump.svg thumb 250px right An example of a decision stump that discriminates between two of three classes of Iris flower data set Iris versicolor and Iris virginica . The petal width is in centimetres. This particular stump achieves 94 accuracy on the Iris dataset for these two classes. A decision stump is a machine learning model consisting of a one level Decision tree learning decision tree . ref name IL92 That is, it is a decision tree with one internal node the root which is immediately connected to the terminal nodes its leaves . A decision stump makes a prediction based on the value of just a single input feature. Sometimes they are also called 1 rules . ref cite web url http citeseerx.ist.psu.edu viewdoc download?doi 10.1.1.67.2711&rep rep1&type pdf title Very Simple Classification Rules Perform Well on Most Commonly Used Datasets first Robert C. last Holte year 1993 ref Depending on the type of the input feature, several variations are possible. For nominal features, one may build a stump which contains a leaf for each possible feature value ref cite book last Loper first Edward L. last2 Bird, first2 Steven last3 Klein first3 Ewan title Natural language processing with Python publisher O Reilly Media O Reilly location Sebastopol, CA year 2009 url http nltk.googlecode.com ... leaves. Decision stumps are often ref Reyzin, Lev and Schapire, Robert E. 2006 http www.cs.princeton.edu ... object detection framework Viola Jones face detection algorithm employs AdaBoost with decision stumps ..., 57 2 , 137 154 ref The term decision stump was coined in a 1992 International Conference on Machine ... http lyonesse.stanford.edu langley papers stump.ml92.pdf Induction of One Level Decision Trees , in ML92 ... statistician Hand, David 1994 Averaging Over Decision Stumps , in Machine Learning ECML 94, seventh ... 61 br Quote These simple rules are in effect severely pruned decision trees and have been termed decision stumps cites Iba and Langley . ref References Reflist DEFAULTSORT Decision Stump Category Decision ...   more details



  1. Decision analysis

    Decision tree Decision support Influence diagram Multi criteria decision analysis MCDA Optimal ...Decision analysis DA is the discipline comprising the philosophy , theory , methodology , and professional practice necessary to address important Decision making decisions in a formal manner. Decision ..., and formally assessing important aspects of a decision, for prescribing a recommended course of action by applying the maximum expected utility action axiom to a well formed representation of the decision, and for translating the formal representation of a decision and its corresponding recommendation into insight for the Decision making decision maker and other Stakeholder corporate stakeholders . History and methodology The term decision analysis was coined in 1964 by Ronald A. Howard , ref cite conference author Howard, Ronald A. title Decision Analysis Applied Decision Theory conference ... url http decision.stanford.edu library ronald a. howard Decision 20Analysis 20Applied 20Decision 20Theory.pdf ... of decision analysis problems commonly use influence diagrams and decision trees . Both of these tools represent the alternatives available to the Decision making decision maker , the uncertainty ... . The Decision making decision maker s attitude to risk is represented by utility function s and their attitude ... functions can be replaced by the probability of achieving uncertain aspiration levels. Decision analysis advocates choosing that decision whose consequences have the maximum expected utility or which maximize the probability of achieving the uncertain aspiration level . Such decision analytic ... and dispute resolution , etc. Decision analysis is used by major corporations to make multi billion ... Prizes and Awards Decision Analysis Society DAS Practice Award Decision Analysis Society Practice Award for its use of decision analysis in all major decisions. In a http www.youtube.com chevron p u 12 JRCxZA6ay3M video detailing Chevron s use of decision analysis, Chevron Vice Chairman George ...   more details



  1. T-tree

    Image with unknown copyright status removed Image Ttreenonde.png thumb right 251px An example of a T tree node structure. Image T tree 1.png thumb right 251px An example T tree. In computer science a T tree is a type of binary tree data structure that is used by main memory database main memory databases .... A T tree is a Height balanced tree balanced index tree data structure optimized for cases where both the index and the actual data are fully kept in memory, just as a B tree is an index structure ... to gain the performance benefits of in memory tree structures such as AVL trees while avoiding the large ... fields within the index tree nodes themselves. Instead, they take advantage of the fact that the actual ... data fields. The T in T tree refers to the shape of the node data structures in the original ... first Jun last Rao coauthors Kenneth A. Ross title Cache conscious indexing for decision support ... speed gap between cache access and main memory access. explain please Node structures A T tree ... minimum and maximum value, inclusively. Image T tree 2.png thumb right 251px Bound values. For each ... then the tree might need to be rebalanced, as described below. Deletion Search for bounding node of the value ... element in the data array then delete the node. Rebalance the tree if needed. Half leaf node ... the leaf node. Rebalance the tree if needed. Rotation and balancing Expand section date June 2008 A T tree is implemented on top of an underlying self balancing binary search tree . Specifically, Lehman and Carey s article describes a T tree balanced like an AVL tree it becomes out of balance ... or deletion of a node. After an insertion or deletion, the tree is scanned from the leaf to the root. If an imbalance is found, one tree rotation or pair of rotations is performed, which is guaranteed to balance the whole tree. When the rotation results in an internal node having fewer than the minimum ... section date June 2008 See also Tree graph theory Tree set theory Tree structure Exponential tree ...   more details



  1. The Tree

    The Tree may refer to The Tree book The Tree book , an autobiographical book by John Fowles The Tree short story The Tree short story , a short story by American horror fiction writer H. P. Lovecraft The Tree 1969 film The Tree 1969 film , an American film The Tree 1993 film The Tree 1993 film , a short film The Tree 2010 film The Tree 2010 film , an Australian French film disambig ...   more details



  1. Decision mathematics

    Decision mathematics may refer to Discrete mathematics Decision theory mathdab Category Discrete mathematics ...   more details



  1. Decision table

    of an executable decision table or control table . See also Decision tree s Case based reasoning ...Decision tables are a precise yet compact way to model complicated logic. ref http www.catalyst.com products logicgem overview.html A History of Decision Tables , www.catalyst.com ref Decision tables, like ... and 1970s a range of decision table based languages such as Filetab were popular for business ... td tr table Each decision corresponds to a variable, relation or predicate whose possible values ... alternatives the entry corresponds to. Many decision tables include in their condition alternatives the Don t care term don t care symbol, a hyphen. Using don t cares can simplify decision tables, especially ... influence which actions are performed. Aside from the basic four quadrant structure, decision ... web.sxu.edu rogers sys decision tables.html ref ref http www.cems.uwe.ac.uk jharney table.html ref Some decision tables use simple true false values to represent the alternatives to a condition akin ... Vanthienen first4 Jan contribution Locational choice modelling using fuzzy decision tables contribution ... , or in more advanced decision tables, the sequencing of actions to perform number the actions to perform . Example The limited entry decision table is the simplest to describe. The condition alternatives ... in a given column are to be performed. A technical support company writes a decision table .... The following is a balanced decision table . table border 1 cellpadding 5 cellspacing 0 align center ... how decision tables can scale to several conditions with many possibilities. Software engineering benefits Decision tables, especially when coupled with the use of a domain specific language , allow developers and policy experts to work from the same information, the decision tables themselves. Tools to render nested if statements from traditional programming languages into decision tables ... CCIDE Example ref ref http www.cs.adelaide.edu.au dwyer Cope.html Experience With The Cope Decision ...   more details



  1. Command Decision

    Command Decision may refer to Command Decision novel Command Decision novel , a 1947 World War II novel by William Wister Haines Command Decision film Command Decision film , a 1948 World War II film starring Clark Gable Command Decision play Command Decision play , a 1948 World War II play starring James Whitmore Command Decision , a novel by Elizabeth Moon in the Vatta s War series Command Decision Dad s Army episode Command Decision Dad s Army episode , a 1968 episode of Dad s Army Disambig ...   more details



  1. Decision analyst

    Multiple issues context October 2009 unreferenced May 2007 For the company, see Decision Analyst company Decision analysts are people who use formal methods, particularly Generalized expected utility Expected Utility Theory , to assist others in decision making. DEFAULTSORT Decision Analyst Category Business and financial operations occupations Job stub ...   more details



  1. Newspaper decision

    A newspaper decision was a decision in professional boxing rendered by a consensus of sportswriters attending a bout after a no decision bout had ended. A no decision bout occurred when, either under the aegis of state boxing law or by an arrangement between the fighters, both boxers were still standing at the end of a fight and there had been no knockout, no official decision had been made, and neither boxer was declared the winner. The newspaper reporters covering the fight, after reaching a consensus, would declare a winner and print the newspaper decision in their publications. Officially, however, a no decision bout resulted in neither boxer winning or losing. ref cite web title Newspaper decision url http boxrec.com media index.php Newspaper decision publisher BoxRec accessdate 18 March 2012 ref References references Combat sports decisions Category Boxing rules and regulations ...   more details



  1. Decision model

    Unreferenced date June 2009 Context date October 2010 About the decision model other uses Appraisal disambiguation A Decision making decision method is an axiom atic system that contains at least one action axiom . Formulation is the first and often most challenging stage in using formal decision methods and in decision analysis in particular . The objective of the formulation stage is to develop a formal model of the given decision. Evaluation is the second and most algorithm ic stage in using formal decision methods. The objective of the evaluation stage is to produce a formal recommendation and its associated sensitivities from a formal model of the decision situation. Appraisal is the third and last stage in using formal decision methods. The objective of the appraisal stage is for the decision maker to develop insight into the decision and determine a clear course of action. Much of the insight developed in this stage results from exploring the implications of the formal decision model developed during the formulation stage i.e., from mining the model . Central to these implications is the formal recommendation for action calculated during the evaluation stage. Other implications include various forms of Sensitivity and specificity sensitivity of the recommendation to selected variables in the model. Additional insight is obtained by exposing key aspects of the reasoning that led to the formal decision model i.e., by justifying the model . Possible actions following the appraisal ... it, or abandoning the analysis and doing something else. Justifying a decision model is the action of exploring and explaining the reasoning that led to the formulation of a particular decision model. Mining a decision model is the action of extracting information e.g., sensitivity, value of information , and value of control from a given decision model. See also Decision support Decision theory Decision engineering Category Decision theory Geo term stub pl Model decyzyjny ...   more details



  1. Theory and Decision

    Infobox Journal titel Theory and Decision cover File Theory and Decision.jpg discipline Economics , Decision theory Decision Science multidisciplinary publisher Springer Science Business Media Springer frequency Quarterly history 1970 present website http www.springer.com economics economic theory journal 11238 ISSN 0040 5833 Theory and Decision is a peer review ed Multidisciplinarity multidisciplinary journal of Decision theory decision science published quarterly by Springer Science Business Media . It was first published in 1970. The current editor in chief is Mohammed Abdellaoui economist Mohammed Abdellaoui . The journal publishes research in fields such as economics , game theory , management science , and artificial intelligence . ref http www.springer.com economics economic theory journal 11238?detailsPage editorialBoard ref References Reflist External links http www.springer.com economics economic theory journal 11238 Website DEFAULTSORT Theory and Decision Category Economics journals Category Publications established in 1970 Category Springer academic journals Category Logic journals de Theory and Decision et Theory and Decision socialscience journal stub ...   more details



  1. Decision rule

    about decision theory the use in computer science decision rules In decision theory , a decision rule is a function which maps an observation to an appropriate action. Decision rules play an important role in the theory of statistics and economics , and are closely related to the concept of a strategy game theory strategy in game theory . In order to evaluate the usefulness of a decision rule, it is necessary to have a loss function detailing the outcome of each action under different states. Formal definition Given an observable random variable X over the probability space math scriptstyle mathcal X , Sigma, P theta math , determined by a parameter &theta   &isin   &Theta , and a set A of possible actions, a deterministic decision rule is a function &delta     math scriptstyle mathcal X math &rarr   A . Examples of decision rules An estimator is a decision rule used for estimating a parameter. In this case the set of actions is the parameter space, and a loss function details the cost of the discrepancy between the true value of the parameter and the estimated value. Out of sample prediction in Regression analysis regression and Statistical classification classification models. See also Admissible decision rule Bayes estimator Category Decision theory ...   more details



  1. Split decision

    unreferenced date December 2007 A split decision is a winning criterion in several full contact combat sport s, such as boxing , kickboxing , Muay Thai , mixed martial arts and others sports involving strike attack striking in which two of the three judges score for the same fighter as the winner, while the third judge scores for the other fighter. A split decision is different from a majority decision , which occurs when two judges pick the same fighter as the winner, while the third judge scores a draw evenly for both fighters . Note that the effect is the same in both split and majority decision with the difference being that the margin of victory is greater in a majority decision. A split decision is the closest possible result in fights where there is a winner and a loser. Many times, a split decision causes controversy due to its lack of unanimity . As a result, especially in high profile or title bouts, the victor is encouraged or pressured to grant a rematch, in the hopes a return matchup will give a more decisive outcome. Combat sports decisions Category Boxing rules and regulations Split Decision ru ...   more details



  1. Reserved decision

    Unreferenced auto yes date December 2009 Reserved decision is a legal term. After the hearing of a trial law trial or the argument of a Motion legal motion a judge may not immediately deliver a decision, but instead take time to review evidence and the law and deliver a decision at a later time, usually in a written form. It is a more thought out decision compared to ex tempore where a judge hands down a decision of a case soon or right after a hearing. See also ex tempore Category Legal terms DEFAULTSORT Reserved Decision Law term stub ...   more details



  1. Unanimous decision

    unreferenced date December 2007 A unanimous decision is a winning criterion in several full contact combat sport s, such as boxing , kickboxing , Muay Thai , mixed martial arts and others sports involving strike attack striking in which all three judges agree on which fighter won the match. In boxing, each of the three judges keep score round by round of which fighter he she feels is winning and losing . A decision isn t required to be unanimous for a boxer to be given a victory. Unaninmous decision shouldn t be confused with a majority decision or split decision . A unanimous decision is also sometimes referred to as a win on points . Combat sports decisions Category Boxing rules and regulations ru ...   more details



  1. Decision-to-decision path

    Unreferenced date February 2007 A decision to decision path, or DD Path, is a path of execution usually through a graph representing a program, such as a flow chart that does not include any conditional nodes. That is, it is the path of execution between two decisions. DD decision decision path is a path of nodes in a directed graph. A chain is a path in which Initial and terminal nodes are distinct All interior nodes have in degree 1 and out degree 1 A DD path is a chain in a program graph such that It consists of a single node with in degree 0 initial node It consists of a single node with out degree 0 terminal node It consists of a single node with in deg &ge 2 or out deg &ge 2 It consists of a single node with in deg 1 and out deg 1 It is a maximal chain of length &ge 1. See also Essential complexity Code coverage Cyclomatic complexity Category Software testing Soft eng stub ...   more details




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