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» Clustering with Bregman Divergences
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JMLR
2012
11 years 10 months ago
Message-Passing Algorithms for MAP Estimation Using DC Programming
We address the problem of finding the most likely assignment or MAP estimation in a Markov random field. We analyze the linear programming formulation of MAP through the lens of...
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 5 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
BMCBI
2005
108views more  BMCBI 2005»
13 years 7 months ago
SplitTester: software to identify domains responsible for functional divergence in protein family
Background: Many protein families have undergone functional divergence after gene duplications such that current subgroups of the family carry out overlapping but distinct biologi...
Xiang Gao, Kent Vander Velden, Daniel F. Voytas, X...
IJCNN
2006
IEEE
14 years 1 months ago
Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm
— Recent work has revealed a close connection between certain information theoretic divergence measures and properties of Mercer kernel feature spaces. Specifically, it has been...
Robert Jenssen, Deniz Erdogmus, Jose C. Principe
COLT
2006
Springer
13 years 11 months ago
Maximum Entropy Distribution Estimation with Generalized Regularization
Abstract. We present a unified and complete account of maximum entropy distribution estimation subject to constraints represented by convex potential functions or, alternatively, b...
Miroslav Dudík, Robert E. Schapire