Proceedings of the 22nd international conference on Machine learning - ICML '05
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TOTAL DOCUMENTS

134

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Evaluating machine learning for information extraction

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102395 ◽

2005 ◽

Cited By ~ 17

Author(s):

Neil Ireson ◽

Fabio Ciravegna ◽

Mary Elaine Califf ◽

Dayne Freitag ◽

Nicholas Kushmerick ◽

...

Keyword(s):

Machine Learning ◽

Information Extraction

Adapting two-class support vector classification methods to many class problems

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102391 ◽

2005 ◽

Cited By ~ 4

Author(s):

Simon I. Hill ◽

Arnaud Doucet

Keyword(s):

Support Vector ◽

Classification Methods

Ensembles of biased classifiers

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102405 ◽

2005 ◽

Cited By ~ 7

Author(s):

Rinat Khoussainov ◽

Andreas Heß ◽

Nicholas Kushmerick

The cross entropy method for classification

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102422 ◽

2005 ◽

Cited By ~ 36

Author(s):

Shie Mannor ◽

Dori Peleg ◽

Reuven Rubinstein

Keyword(s):

Entropy Method ◽

Cross Entropy ◽

Cross Entropy Method ◽

The Cross

Hierarchical Dirichlet model for document classification

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102468 ◽

2005 ◽

Cited By ~ 13

Author(s):

Sriharsha Veeramachaneni ◽

Diego Sona ◽

Paolo Avesani

Keyword(s):

Document Classification ◽

Dirichlet Model

Intrinsic dimensionality estimation of submanifolds in Rd

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102388 ◽

2005 ◽

Cited By ~ 52

Author(s):

Matthias Hein ◽

Jean-Yves Audibert

Keyword(s):

Intrinsic Dimensionality

Predicting relative performance of classifiers from samples

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102414 ◽

2005 ◽

Cited By ~ 25

Author(s):

Rui Leite ◽

Pavel Brazdil

Keyword(s):

Relative Performance

Coarticulation

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102442 ◽

2005 ◽

Cited By ~ 5

Author(s):

Khashayar Rohanimanesh ◽

Sridhar Mahadevan

Fast maximum margin matrix factorization for collaborative prediction

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102441 ◽

2005 ◽

Cited By ~ 316

Author(s):

Jasson D. M. Rennie ◽

Nathan Srebro

Keyword(s):

Matrix Factorization ◽

Maximum Margin ◽

Collaborative Prediction

An efficient method for simplifying support vector machines

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102429 ◽

2005 ◽

Cited By ~ 44

Author(s):

DucDung Nguyen ◽

TuBao Ho

Keyword(s):

Support Vector Machines ◽

Efficient Method ◽

Support Vector ◽

Vector Machines

Proceedings of the 22nd international conference on Machine learning - ICML '05Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

Evaluating machine learning for information extraction

Adapting two-class support vector classification methods to many class problems

Ensembles of biased classifiers

The cross entropy method for classification

Hierarchical Dirichlet model for document classification

Intrinsic dimensionality estimation of submanifolds in Rd

Predicting relative performance of classifiers from samples

Coarticulation

Fast maximum margin matrix factorization for collaborative prediction

An efficient method for simplifying support vector machines

Proceedings of the 22nd international conference on Machine learning - ICML '05
Latest Publications