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» Large-Scale Many-Class Learning
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ICSE
1999
IEEE-ACM
14 years 2 months ago
Exploiting Smalltalk Modules in a Customizable Programming Environment
This paper describes how we have extended a module structure of the Smalltalk LearningWorks to provide a programming environment deigned for very large scale technology transfer. ...
Mark Woodman, Robert Griffiths, Malcolm Macgregor,...
ICMLC
2010
Springer
13 years 7 months ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
13 years 22 days ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
PKDD
2005
Springer
95views Data Mining» more  PKDD 2005»
14 years 3 months ago
Ensembles of Balanced Nested Dichotomies for Multi-class Problems
Abstract. A system of nested dichotomies is a hierarchical decomposition of a multi-class problem with c classes into c − 1 two-class problems and can be represented as a tree st...
Lin Dong, Eibe Frank, Stefan Kramer
CLOR
2006
14 years 1 months ago
Shared Features for Multiclass Object Detection
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...