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SAC
2009
ACM
16 years 1 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
BIBM
2008
IEEE
145views Bioinformatics» more  BIBM 2008»
16 years 25 days ago
Identifying Interface Elements Implied in Protein-Protein Interactions Using Statistical Tests and Frequent Item Sets
Understanding what are the characteristics of proteinprotein interfaces is at the core of numerous applications. This paper introduces a method in which the proteins are described...
Christine Martin, Antoine Cornuéjols
ICDCS
2007
IEEE
16 years 20 days ago
Distributed Density Estimation Using Non-parametric Statistics
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Yusuo Hu, Hua Chen, Jian-Guang Lou, Jiang Li
ICIP
2005
IEEE
15 years 12 months ago
Natural contrast statistics and the selection of visual fixations
In this paper we address the problem of visual surveillance, which we define as the problem of optimally extracting information from the visual scene with a fixating, foveated ima...
Raghu G. Raj, Wilson S. Geisler, Robert A. Frazor,...
IDA
2005
Springer
15 years 12 months ago
Removing Statistical Biases in Unsupervised Sequence Learning
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
Yoav Horman, Gal A. Kaminka