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

9783642237829, 9783642237836

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Higher Order Contractive Auto-Encoder

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

10.1007/978-3-642-23783-6_41 ◽

2011 ◽

pp. 645-660 ◽

Cited By ~ 97

Author(s):

Salah Rifai ◽

Grégoire Mesnil ◽

Pascal Vincent ◽

Xavier Muller ◽

Yoshua Bengio ◽

...

Keyword(s):

Higher Order

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Aggregating Independent and Dependent Models to Learn Multi-label Classifiers

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

10.1007/978-3-642-23783-6_31 ◽

2011 ◽

pp. 484-500 ◽

Cited By ~ 10

Author(s):

Elena Montañés ◽

José Ramón Quevedo ◽

Juan José del Coz

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Link Prediction via Matrix Factorization

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

10.1007/978-3-642-23783-6_28 ◽

2011 ◽

pp. 437-452 ◽

Cited By ~ 141

Author(s):

Aditya Krishna Menon ◽

Charles Elkan

Keyword(s):

Matrix Factorization ◽

Link Prediction

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Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping

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

10.1007/978-3-642-23783-6_22 ◽

2011 ◽

pp. 341-357 ◽

Cited By ~ 7

Author(s):

Jefrey Lijffijt ◽

Panagiotis Papapetrou ◽

Kai Puolamäki ◽

Heikki Mannila

Keyword(s):

Arrival Times ◽

Text Corpora ◽

Word Frequencies

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Typology of Mixed-Membership Models: Towards a Design Method

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

10.1007/978-3-642-23783-6_3 ◽

2011 ◽

pp. 32-47

Author(s):

Gregor Heinrich

Keyword(s):

Design Method ◽

Mixed Membership Models

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A Novel Stability Based Feature Selection Framework for k-means Clustering

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

10.1007/978-3-642-23783-6_27 ◽

2011 ◽

pp. 421-436 ◽

Cited By ~ 1

Author(s):

Dimitrios Mavroeidis ◽

Elena Marchiori

Keyword(s):

Feature Selection ◽

Selection Framework

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Graph Evolution via Social Diffusion Processes

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

10.1007/978-3-642-23783-6_25 ◽

2011 ◽

pp. 390-404

Author(s):

Dijun Luo ◽

Chris Ding ◽

Heng Huang

Keyword(s):

Diffusion Processes ◽

Social Diffusion

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The VC-Dimension of SQL Queries and Selectivity Estimation through Sampling

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

10.1007/978-3-642-23783-6_42 ◽

2011 ◽

pp. 661-676 ◽

Cited By ~ 5

Author(s):

Matteo Riondato ◽

Mert Akdere ◽

Uǧur Çetintemel ◽

Stanley B. Zdonik ◽

Eli Upfal

Keyword(s):

Vc Dimension ◽

Selectivity Estimation

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PTMSearch: A Greedy Tree Traversal Algorithm for Finding Protein Post-Translational Modifications in Tandem Mass Spectra

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

10.1007/978-3-642-23783-6_11 ◽

2011 ◽

pp. 162-176 ◽

Cited By ~ 1

Author(s):

Attila Kertész-Farkas ◽

Beáta Reiz ◽

Michael P. Myers ◽

Sándor Pongor

Keyword(s):

Mass Spectra ◽

Tandem Mass ◽

Post Translational Modifications ◽

Tandem Mass Spectra ◽

Tree Traversal ◽

Traversal Algorithm

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Efficient Mining of Top Correlated Patterns Based on Null-Invariant Measures

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

10.1007/978-3-642-23783-6_12 ◽

2011 ◽

pp. 177-192 ◽

Cited By ~ 9

Author(s):

Sangkyum Kim ◽

Marina Barsky ◽

Jiawei Han

Keyword(s):

Invariant Measures ◽

Correlated Patterns

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Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Higher Order Contractive Auto-Encoder

Aggregating Independent and Dependent Models to Learn Multi-label Classifiers

Link Prediction via Matrix Factorization

Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping

Typology of Mixed-Membership Models: Towards a Design Method

A Novel Stability Based Feature Selection Framework for k-means Clustering

Graph Evolution via Social Diffusion Processes

The VC-Dimension of SQL Queries and Selectivity Estimation through Sampling

PTMSearch: A Greedy Tree Traversal Algorithm for Finding Protein Post-Translational Modifications in Tandem Mass Spectra

Efficient Mining of Top Correlated Patterns Based on Null-Invariant Measures

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