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JAIR
2011
129views more  JAIR 2011»
14 years 11 months ago
Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference
Previous studies have demonstrated that encoding a Bayesian network into a SAT formula and then performing weighted model counting using a backtracking search algorithm can be an ...
Wei Li 0002, Pascal Poupart, Peter van Beek
CIKM
1999
Springer
15 years 8 months ago
Automatically Extracting Structure and Data from Business Reports
A considerable amount of clean semistructured data is internally available to companies in the form of business reports. However, business reports are untapped for data mining, da...
Stephen W. Liddle, Douglas M. Campbell, Chad Crawf...
ACL
1998
15 years 5 months ago
Structural Disambiguation Based on Reliable Estimation of Strength of Association
This paper proposes a new class-based method to estimate the strength of association in word co-occurrence for the purpose of structural disambiguation. To deal with sparseness of...
Haodong Wu, Eduardo de Paiva Alves
IJCAI
2001
15 years 5 months ago
Representing Sentence Structure in Hidden Markov Models for Information Extraction
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
Soumya Ray, Mark Craven
FSS
2008
110views more  FSS 2008»
15 years 4 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker