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» Support vector machine for functional data classification
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121
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ECML
2006
Springer
15 years 6 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
120
Voted
ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 2 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
131
Voted
ANNPR
2008
Springer
15 years 4 months ago
Feature Ranking Ensembles for Facial Action Unit Classification
Recursive Feature Elimination RFE combined with feature-ranking is an effective technique for eliminating irrelevant features. In this paper, an ensemble of MLP base classifiers wi...
Terry Windeatt, Kaushala Dias
DMIN
2008
176views Data Mining» more  DMIN 2008»
15 years 4 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu
TREC
2004
15 years 4 months ago
Identifying Relevant Full-Text Articles for GO Annotation Without MeSH Terms
Gene Ontology (GO) is a controlled vocabulary. Given a gene product, GO enables scientists to clearly and unambiguously describe specific molecular functions of the gene product, ...
Chih Lee, Wen-Juan Hou, Hsin-Hsi Chen