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

9783642334597, 9783642334603

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Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets

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

10.1007/978-3-642-33460-3_41 ◽

2012 ◽

pp. 553-568 ◽

Cited By ~ 3

Author(s):

Haoruo Peng ◽

Zhengyu Wang ◽

Edward Y. Chang ◽

Shuchang Zhou ◽

Zhihua Zhang

Keyword(s):

Logistic Regression ◽

Sublinear Algorithms ◽

Massive Datasets ◽

Penalized Logistic Regression

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Analyzing Text and Social Network Data with Probabilistic Models

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

10.1007/978-3-642-33460-3_5 ◽

2012 ◽

pp. 7-8

Author(s):

Padhraic Smyth

Keyword(s):

Social Network ◽

Probabilistic Models ◽

Network Data ◽

Social Network Data

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Improved Counter Based Algorithms for Frequent Pairs Mining in Transactional Data Streams

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

10.1007/978-3-642-33460-3_59 ◽

2012 ◽

pp. 843-858 ◽

Cited By ~ 2

Author(s):

Konstantin Kutzkov

Keyword(s):

Data Streams ◽

Transactional Data ◽

Transactional Data Streams

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Efficient Discovery of Association Rules and Frequent Itemsets through Sampling with Tight Performance Guarantees

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

10.1007/978-3-642-33460-3_7 ◽

2012 ◽

pp. 25-41 ◽

Cited By ~ 7

Author(s):

Matteo Riondato ◽

Eli Upfal

Keyword(s):

Association Rules ◽

Frequent Itemsets ◽

Performance Guarantees

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Learning Neighborhoods for Metric Learning

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

10.1007/978-3-642-33460-3_20 ◽

2012 ◽

pp. 223-236 ◽

Cited By ~ 2

Author(s):

Jun Wang ◽

Adam Woznica ◽

Alexandros Kalousis

Keyword(s):

Metric Learning

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Machine Learning for Robotics

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

10.1007/978-3-642-33460-3_1 ◽

2012 ◽

pp. 1-1

Author(s):

Pieter Abbeel

Keyword(s):

Machine Learning

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Solving Problems with Visual Analytics: Challenges and Applications

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

10.1007/978-3-642-33460-3_4 ◽

2012 ◽

pp. 5-6 ◽

Cited By ~ 10

Author(s):

Daniel Keim

Keyword(s):

Visual Analytics

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Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses

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

10.1007/978-3-642-33460-3_40 ◽

2012 ◽

pp. 537-552 ◽

Cited By ~ 3

Author(s):

Qing Tao ◽

Kang Kong ◽

Dejun Chu ◽

Gaowei Wu

Keyword(s):

Coordinate Descent ◽

Descent Methods

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Diversity Regularized Ensemble Pruning

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

10.1007/978-3-642-33460-3_27 ◽

2012 ◽

pp. 330-345 ◽

Cited By ~ 45

Author(s):

Nan Li ◽

Yang Yu ◽

Zhi-Hua Zhou

Keyword(s):

Ensemble Pruning

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Learning Multiple Tasks with Boosted Decision Trees

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

10.1007/978-3-642-33460-3_49 ◽

2012 ◽

pp. 681-696 ◽

Cited By ~ 8

Author(s):

Jean Baptiste Faddoul ◽

Boris Chidlovskii ◽

Rémi Gilleron ◽

Fabien Torre

Keyword(s):

Decision Trees ◽

Multiple Tasks ◽

Boosted Decision Trees

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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

Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets

Analyzing Text and Social Network Data with Probabilistic Models

Improved Counter Based Algorithms for Frequent Pairs Mining in Transactional Data Streams

Efficient Discovery of Association Rules and Frequent Itemsets through Sampling with Tight Performance Guarantees

Learning Neighborhoods for Metric Learning

Machine Learning for Robotics

Solving Problems with Visual Analytics: Challenges and Applications

Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses

Diversity Regularized Ensemble Pruning

Learning Multiple Tasks with Boosted Decision Trees

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