نتایج جستجو برای: bayesian rule

تعداد نتایج: 234744  

2015
Yann Ollivier

When observing data x1, . . . , xt modelled by a probabilistic distribution pθ(x), the maximum likelihood (ML) estimator θML = argmaxθ ∑︀t i=1 ln pθ(xi) cannot, in general, safely be used to predict xt+1. For instance, for a Bernoulli process, if only “tails” have been observed so far, the probability of “heads” is estimated to 0. Laplace’s famous “add-one” rule of succession (e.g., [Grü07]) re...

2007
Gregory Wheeler Jon Williamson

This paper is a comparison of how first-order Kyburgian Evidential Probability (EP), second-order EP, and objective Bayesian epistemology compare as to the KLM system-P rules for consequence relations and the monotonic / non-monotonic divide.

Journal: :IJEBM 2011
Sung-Shun Weng Shang-Chia Liu Tsung-Hsien Wu

In recent years, there have been more and more enterprises using Web sites for marketing of various products or services; Internet thus allows customers shopping or searching for information online at any time and any location. If it is possible to recommend products to customers’ liking at the time they are visiting the specific web site, it would reduce the hassle customers experience in sear...

Journal: :CoRR 2015
Fulton Wang Cynthia Rudin

Falling rule lists are classification models consisting of an ordered list of if-then rules, where (i) the order of rules determines which example should be classified by each rule, and (ii) the estimated probability of success decreases monotonically down the list. These kinds of rule lists are inspired by healthcare applications where patients would be stratified into risk sets and the highes...

Journal: :Journal of computer-aided molecular design 2014
Zhihong Liu Minghao Zheng Xin Yan Qiong Gu Johann Gasteiger Johan Tijhuis Peter Maas Jiabo Li Jun Xu

Predicting compound chemical stability is important because unstable compounds can lead to either false positive or to false negative conclusions in bioassays. Experimental data (COMDECOM) measured from DMSO/H2O solutions stored at 50 °C for 105 days were used to predicted stability by applying rule-embedded naïve Bayesian learning, based upon atom center fragment (ACF) features. To build the n...

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