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» Automatic Ordering of Subgoals - A Machine Learning Approach
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140
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CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 3 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
145
Voted
ISBI
2011
IEEE
14 years 7 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
ML
2008
ACM
174views Machine Learning» more  ML 2008»
15 years 2 months ago
ALLPAD: approximate learning of logic programs with annotated disjunctions
In this paper we present the system ALLPAD for learning Logic Programs with Annotated Disjunctions (LPADs). ALLPAD modifies the previous system LLPAD in order to tackle real world ...
Fabrizio Riguzzi
128
Voted
ML
2000
ACM
149views Machine Learning» more  ML 2000»
15 years 3 months ago
BoosTexter: A Boosting-based System for Text Categorization
This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting...
Robert E. Schapire, Yoram Singer
PR
2006
101views more  PR 2006»
15 years 3 months ago
Feature-based approach to semi-supervised similarity learning
For the management of digital document collections, automatic database analysis still has ties to deal with semantic queries and abstract concepts that users are looking for. When...
Philippe Henri Gosselin, Matthieu Cord