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IJCAI
2007
13 years 9 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
VLDB
1998
ACM
147views Database» more  VLDB 1998»
13 years 11 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
APCCM
2004
13 years 9 months ago
An Adaptive Information Retrieval System Based on Associative Networks
In this paper we present a multilingual information retrieval system that provides access to Tourism information by exploiting the intuitiveness of natural language. In particular...
Helmut Berger, Michael Dittenbach, Dieter Merkl
LWA
2004
13 years 9 months ago
Dirichlet Enhanced Latent Semantic Analysis
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
Kai Yu, Shipeng Yu, Volker Tresp
CPAIOR
2009
Springer
14 years 2 months ago
Modelling Search Strategies in Rules2CP
In this abstract, we present a rule-based modelling language for constraint programming, called Rules2CP [1], and a library PKML for modelling packing problems. Unlike other modell...
François Fages, Julien Martin