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194
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UAI
2003
15 years 8 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
163
Voted
TREC
1998
15 years 8 months ago
BBN at TREC7: Using Hidden Markov Models for Information Retrieval
We present a new method for information retrieval using hidden Markov models HMMs and relate our experience with this system on the TREC-7 ad hoc task. We develop a general framew...
David R. H. Miller, Tim Leek, Richard M. Schwartz
141
Voted
COLING
1996
15 years 7 months ago
Lexical Information for Determining Japanese Unbounded Dependency
This paper presents a practical method for a global structure analyzing Mgorithm of Japanese long sentences with lexical information, a method which we call Lexical Discourse Gram...
Shin-ichiro Kamei, Kazunori Muraki, Shinichi Doi
170
Voted
UAI
1993
15 years 7 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Wai Lam, Fahiem Bacchus
WCE
2007
15 years 7 months ago
Information Fusion for Hazard Analysis in Multi-Sensor Systems based on Bayesian Networks
—Modern sliding table saws are equipped with several passive safety devices. However, alone in Germany several hundred severe injuries or limb amputations occur each year due dis...
Jörg Barrho, Johannes Hauger, Uwe Kiencke