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ECML
2005
Springer
14 years 1 months ago
Estimation of Mixture Models Using Co-EM
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
Steffen Bickel, Tobias Scheffer
PAMI
2006
127views more  PAMI 2006»
13 years 7 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
INCDM
2010
Springer
138views Data Mining» more  INCDM 2010»
13 years 6 months ago
Learning Discriminative Distance Functions for Case Retrieval and Decision Support
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
JAIR
2011
84views more  JAIR 2011»
13 years 2 months ago
Evaluating Temporal Graphs Built from Texts via Transitive Reduction
Temporal information has been the focus of recent attention in information extraction, leading to some standardization effort, in particular for the task of relating events in a t...
Xavier Tannier, Philippe Muller
ICML
2007
IEEE
14 years 8 months ago
Online kernel PCA with entropic matrix updates
A number of updates for density matrices have been developed recently that are motivated by relative entropy minimization problems. The updates involve a softmin calculation based...
Dima Kuzmin, Manfred K. Warmuth