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ECML
1997
Springer
15 years 6 months ago
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...
Ricardo Vilalta, Gunnar Blix, Larry A. Rendell
ACL
2006
15 years 3 months ago
A Comparison of Alternative Parse Tree Paths for Labeling Semantic Roles
The integration of sophisticated inference-based techniques into natural language processing applications first requires a reliable method of encoding the predicate-argument struc...
Reid Swanson, Andrew S. Gordon
194
Voted

Book
498views
17 years 16 days ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood
140
Voted
ACML
2009
Springer
15 years 7 months ago
Improving Adaptive Bagging Methods for Evolving Data Streams
We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
118
Voted
ICPR
2008
IEEE
16 years 3 months ago
A probabilistic Self-Organizing Map for facial recognition
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
Christophe Garcia, Grégoire Lefebvre