Jun 2, 2006 · In this paper we extend the Bayesian probability theory based approaches to case-based reasoning, focusing on the case matching task, an ...
The results suggest that case retrieval systems based on the Bayesian case matching score perform much better than case re- trieval systems based on the ...
Bayesian object matching. Matching of object refers to the problem of inferring unknown co-occurrence or alignment between observations or samples in two data ...
G. Cooper and E. Herskovits. A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9:309–347, 1992. M.H. DeGroot. Optimal ...
Get details about the chapter of On Bayesian case matching from book Advances in Case-Based Reasoning: 4th European Workshop, EWCBR' 98, Dublin, Ireland, ...
We present a Bayesian approach to analyze matched “case–control” data with multiple disease states. The probability of disease development is described by a ...
[PDF] The Bayesian Case Model: A Generative Approach for Case ...
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We present the Bayesian Case Model (BCM), a general framework for Bayesian case-based reasoning (CBR) and prototype classification and clustering. BCM brings ...
The present paper develops a Bayesian approach to case–control studies with a disease indicator D, a completely observed covariate vector Z and an exposure or ...
The usual prospective likelihood for unmatched data and conditional logistic regression for matched studies produce biased estimates of the relative risk ...
The paper introduces general Bayesian inference procedures for the anal ysis of matched case-control data. The general results hold for a wide class of ...