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» On Optimal Learning Algorithms for Multiplicity Automata
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ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
14 years 5 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
ECML
2005
Springer
14 years 4 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
PRL
1998
93views more  PRL 1998»
13 years 10 months ago
A connectionist method for pattern classification with diverse features
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
Ke Chen 0001
ICRA
2010
IEEE
227views Robotics» more  ICRA 2010»
13 years 8 months ago
Efficient multi-view object recognition and full pose estimation
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
Alvaro Collet, Siddhartha S. Srinivasa
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
14 years 4 months ago
Evolutionary rule-based system for IPO underpricing prediction
Academic literature has documented for a long time the existence of important price gains in the first trading day of initial public offerings (IPOs). Most of the empirical analys...
David Quintana, Cristóbal Luque del Arco-Ca...