Results 211 to 220 of about 451,855 (262)
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2004
Abstract Reject inference has an established role in the development of scorecards for credit applications. The performance of the rejects, had they been accepted, is inferred to be good or bad in order to obtain a complete picture of the population applying for credit.
Gaynor Bennett +2 more
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Abstract Reject inference has an established role in the development of scorecards for credit applications. The performance of the rejects, had they been accepted, is inferred to be good or bad in order to obtain a complete picture of the population applying for credit.
Gaynor Bennett +2 more
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MATHEMATICAL INFERENCE AND LOGICAL INFERENCE
The Review of Symbolic Logic, 2018AbstractThe deviation ofmathematical proof—proof in mathematical practice—from the ideal offormal proof—proof in formal logic—has led many philosophers of mathematics to reconsider the commonly accepted view according to which the notion of formal proof provides an accurate descriptive account of mathematical proof.
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Fuzzy inference and fuzzy inference processor
IEEE Micro, 1993Fuzzy inference, a data processing method based on the fuzzy theory that has found wide use in the control field, is reviewed. Consumer electronics, which accounts for most current applications of this concept, does not require very high speeds. Although software running on a conventional microprocessor can perform these inferences, high-speed control ...
Kazuo Nakamura +4 more
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Fuzzy Inference as a Generalization of the Bayesian Inference
Journal of Mathematical Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Koroteev, M. V. +2 more
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2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2011
Wyner defined the notion of common information of two discrete random variables as the minimum of I(W; X, Y) where W induces conditional independence between X and Y. Its generalization to multiple dependent random variables revealed a surprising monotone property in the number of variables.
Ge Xu, Biao Chen 0001
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Wyner defined the notion of common information of two discrete random variables as the minimum of I(W; X, Y) where W induces conditional independence between X and Y. Its generalization to multiple dependent random variables revealed a surprising monotone property in the number of variables.
Ge Xu, Biao Chen 0001
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2012
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
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This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
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Proceedings of the AAAI Conference on Artificial Intelligence, 2015
Graphical visualization has demonstrated enormous power in helping people to understand complexity in many branches of science. But, curiously, AI has been slow to pick up on the power of visualization. Alar is a visualization system intended to help people understand and control symbolic inference.
Henry Lieberman, Joe Henke
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Graphical visualization has demonstrated enormous power in helping people to understand complexity in many branches of science. But, curiously, AI has been slow to pick up on the power of visualization. Alar is a visualization system intended to help people understand and control symbolic inference.
Henry Lieberman, Joe Henke
openaire +1 more source