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PRICAI
2000
Springer
14 years 20 days ago
The Lumberjack Algorithm for Learning Linked Decision Forests
While the decision tree is an effective representation that has been used in many domains, a tree can often encode a concept inefficiently. This happens when the tree has to repres...
William T. B. Uther, Manuela M. Veloso
MLMI
2004
Springer
14 years 2 months ago
Mixture of SVMs for Face Class Modeling
We 1 present a method for face detection which uses a new SVM structure trained in an expert manner in the eigenface space. This robust method has been introduced as a post process...
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran
ECML
2007
Springer
14 years 1 months ago
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Anneleen Van Assche, Hendrik Blockeel
BMCBI
2008
132views more  BMCBI 2008»
13 years 9 months ago
Clustering ionic flow blockade toggles with a Mixture of HMMs
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
Alexander G. Churbanov, Stephen Winters-Hilt
TCSV
2008
177views more  TCSV 2008»
13 years 9 months ago
An ICA Mixture Hidden Markov Model for Video Content Analysis
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
Jian Zhou, Xiao-Ping Zhang