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» Improving on Expectation Propagation
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85
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NIPS
2004
15 years 9 days ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
80
Voted
PAKM
2004
15 years 9 days ago
XAROP: A Midterm Report in Introducing a Decentralized Semantics-Based Knowledge Sharing Application
Abstract. Knowledge management solutions relying on central repositories sometimes have not met expectations, since users often create knowledge ad-hoc using their individual vocab...
Christoph Tempich, Marc Ehrig, Christiaan Fluit, P...
TREC
2004
15 years 9 days ago
Using Clustering and Blade Clusters in the Terabyte Task
Web search engines exploit conjunctive queries and special ranking criteria which differ from the disjunctive queries typically used for ad-hoc retrieval. We wanted to asses the e...
Giuseppe Attardi, Andrea Esuli, Chirag Patel
WSC
2004
15 years 9 days ago
Autonomous Predictive-Adaptive Simulation for Operations Support
This paper describes a simulation system that monitors operations on a production floor, periodically creating a model of those operations, and running a simulation that predicts ...
Peter Bosch, Majdi Rajab
92
Voted
UAI
2003
15 years 8 days ago
Active Collaborative Filtering
Collaborative filtering (CF) allows the preferences of multiple users to be pooled to make recommendations regarding unseen products. We consider in this paper the problem of onl...
Craig Boutilier, Richard S. Zemel, Benjamin M. Mar...