Title Tools for Creating Conditional Probability Tables
نویسنده
چکیده
CPTtools-package . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 ACED.scores . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 areaProbs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 betaci . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 buildFactorTab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 buildParentList . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 buildRegressions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 buildRegressionTables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 calcDDTable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 calcDNTable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 calcDPCTable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 calcDSllike . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 calcDSTable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 calcNoisyAndTable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 calcNoisyOrTable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 colorspread . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 compareBars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 Compensatory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 dataTable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 effectiveThetas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 eThetaFrame . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
منابع مشابه
User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks
Elicitation of probabilities is one of the most laborious tasks in building decision-theoretic models, and one that has so far received only moderate attention in decision-theoretic sys tems. We propose a set of user interface tools for graphical probabilistic models, fo cusing on two aspects of probability elici tation: (1) navigation through conditional probability tables and (2) interacti...
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متن کاملOn tensor rank of conditional probability tables in Bayesian networks
A difficult task in modeling with Bayesian networks is the elicitation of numerical parameters of Bayesian networks. A large number of parameters is needed to specify a conditional probability table (CPT) that has a larger parent set. In this paper we show that, most CPTs from real applications of Bayesian networks can actually be very well approximated by tables that require substantially less...
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In educational assessment, as in many other areas of application for Bayesian networks, most variables are ordinal. Additionally conditional probability tables need to express monotonic relationships; e.g., increasing skill should mean increasing chance of a better performances on an assessment task. This paper describes a flexible parameterization for conditional probability tables based on it...
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تاریخ انتشار 2015