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127
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IJCAI
2007
15 years 5 months ago
Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
Shin-ichi Minato, Ken Satoh, Taisuke Sato
95
Voted
IJCAI
2007
15 years 5 months ago
Some Effects of a Reduced Relational Vocabulary on the Whodunit Problem
A key issue in artificial intelligence lies in finding the amount of input detail needed to do successful learning. Too much detail causes overhead and makes learning prone to ove...
Daniel T. Halstead, Kenneth D. Forbus
127
Voted
NIPS
2008
15 years 5 months ago
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie...
146
Voted
MEDINFO
2007
137views Healthcare» more  MEDINFO 2007»
15 years 5 months ago
How do Clinicians Search For and Access Biomedical Literature to Answer Clinical Questions?
This paper presents a retrospective data analysis on how 75 clinicians searched for and accessed biomedical literature from an online information retrieval system to answer six cl...
Annie Y. S. Lau, Enrico W. Coiera
RIAO
2007
15 years 5 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss