Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540874782, 9783540874799

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A Fast Algorithm to Find Overlapping Communities in Networks

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87479-9_45 ◽

2008 ◽

pp. 408-423 ◽

Author(s):

Steve Gregory

Keyword(s):

Fast Algorithm ◽

Overlapping Communities

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Mining Edge-Weighted Call Graphs to Localise Software Bugs

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87479-9_40 ◽

2008 ◽

pp. 333-348 ◽

Author(s):

Frank Eichinger ◽

Klemens Böhm ◽

Matthias Huber

Keyword(s):

Software Bugs ◽

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Sequence Labelling SVMs Trained in One Pass

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87479-9_28 ◽

2008 ◽

pp. 146-161 ◽

Author(s):

Antoine Bordes ◽

Nicolas Usunier ◽

Léon Bottou

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Catenary Support Vector Machines

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87479-9_57 ◽

2008 ◽

pp. 597-610

Author(s):

Kin Fai Kan ◽

Christian R. Shelton

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Vector Machines

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Learning with L q < 1 vs L 1-Norm Regularisation with Exponentially Many Irrelevant Features

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87479-9_56 ◽

2008 ◽

pp. 580-596 ◽

Author(s):

Ata Kabán ◽

Robert J. Durrant

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Online Manifold Regularization: A New Learning Setting and Empirical Study

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87479-9_44 ◽

2008 ◽

pp. 393-407 ◽

Author(s):

Andrew B. Goldberg ◽

Ming Li ◽

Xiaojin Zhu

Keyword(s):

Empirical Study ◽

Manifold Regularization ◽

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Proper Model Selection with Significance Test

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87479-9_53 ◽

2008 ◽

pp. 536-547 ◽

Author(s):

Jin Huang ◽

Charles X. Ling ◽

Harry Zhang ◽

Stan Matwin

Keyword(s):

Model Selection ◽

Significance Test

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Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87479-9_35 ◽

2008 ◽

pp. 257-271 ◽

Author(s):

Giorgio Corani ◽

Marco Zaffalon

Keyword(s):

Bayesian Model ◽

Bayesian Model Averaging ◽

Model Averaging ◽

Imprecise Probabilities

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Finding Reliable Subgraphs from Large Probabilistic Graphs

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87479-9_13 ◽

2008 ◽

pp. 15-15 ◽

Author(s):

Petteri Hintsanen ◽

Hannu Toivonen

Keyword(s):

Probabilistic Graphs

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Minimum-Size Bases of Association Rules

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87479-9_24 ◽

2008 ◽

pp. 86-101 ◽

Author(s):

José L. Balcázar

Keyword(s):

Association Rules ◽

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