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UAI
2004
14 years 11 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
IJSEKE
2006
99views more  IJSEKE 2006»
14 years 9 months ago
Weaving Deployment Aspects into Domain-specific Models
pecific models increase the level of abstraction used to develop large-scale component-based systems. Model-driven development (MDD) approaches (e.g., ModelIntegrated Computing and...
Krishnakumar Balasubramanian, Aniruddha S. Gokhale...
TKDE
2011
280views more  TKDE 2011»
14 years 4 months ago
Locally Consistent Concept Factorization for Document Clustering
—Previous studies have demonstrated that document clustering performance can be improved significantly in lower dimensional linear subspaces. Recently, matrix factorization base...
Deng Cai, Xiaofei He, Jiawei Han
IR
2010
14 years 8 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
SPIN
2007
Springer
15 years 3 months ago
Generating Counter-Examples Through Randomized Guided Search
Abstract. Computational resources are increasing rapidly with the explosion of multi-core processors readily available from major vendors. Model checking needs to harness these res...
Neha Rungta, Eric G. Mercer