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ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
16 years 1 months ago
Recommendation via Query Centered Random Walk on K-Partite Graph
This paper presents a recommendation algorithm that performs a query dependent random walk on a k-partite graph constructed from the various features relevant to the recommendatio...
Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William...
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
16 years 1 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
16 years 1 months ago
Getting the Most Out of Ensemble Selection
We investigate four previously unexplored aspects of ensemble selection, a procedure for building ensembles of classifiers. First we test whether adjusting model predictions to p...
Rich Caruana, Art Munson, Alexandru Niculescu-Mizi...
ICDM
2006
IEEE
146views Data Mining» more  ICDM 2006»
16 years 1 months ago
Boosting Kernel Models for Regression
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
Ping Sun, Xin Yao
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
16 years 1 months ago
Optimal k-Anonymity with Flexible Generalization Schemes through Bottom-up Searching
In recent years, a major thread of research on kanonymity has focused on developing more flexible generalization schemes that produce higher-quality datasets. In this paper we in...
Tiancheng Li, Ninghui Li