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112
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IWANN
1999
Springer
15 years 8 months ago
Support Vector Machines for Multi-class Classification
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
Eddy Mayoraz, Ethem Alpaydin
149
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AIRS
2006
Springer
15 years 7 months ago
Efficient and Robust Phrase Chunking Using Support Vector Machines
Automatic text chunking is a task which aims to recognize phrase structures in natural language text. It is the key technology of knowledge-based system where phrase structures pro...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee, Show-Jane ...
149
Voted
KAIS
2010
144views more  KAIS 2010»
15 years 2 months ago
Boosting support vector machines for imbalanced data sets
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Benjamin X. Wang, Nathalie Japkowicz
123
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ICML
2006
IEEE
16 years 4 months ago
Ranking on graph data
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...
Shivani Agarwal
106
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ICML
2005
IEEE
16 years 4 months ago
Propagating distributions on a hypergraph by dual information regularization
In the information regularization framework by Corduneanu and Jaakkola (2005), the distributions of labels are propagated on a hypergraph for semi-supervised learning. The learnin...
Koji Tsuda