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

9783662448441, 9783662448458

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Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK)

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

10.1007/978-3-662-44845-8_20 ◽

2014 ◽

pp. 306-321 ◽

Cited By ~ 27

Author(s):

De Wang ◽

Feiping Nie ◽

Heng Huang

Keyword(s):

Feature Selection ◽

Unsupervised Feature Selection ◽

Trace Ratio

Distributional Clauses Particle Filter

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

10.1007/978-3-662-44845-8_45 ◽

2014 ◽

pp. 504-507 ◽

Cited By ~ 1

Author(s):

Davide Nitti ◽

Tinne De Laet ◽

Luc De Raedt

Keyword(s):

Particle Filter

Agents Teaching Agents in Reinforcement Learning (Nectar Abstract)

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

10.1007/978-3-662-44845-8_50 ◽

2014 ◽

pp. 524-528

Author(s):

Matthew E. Taylor ◽

Lisa Torrey

Keyword(s):

Reinforcement Learning

Branty: A Social Media Ranking Tool for Brands

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

10.1007/978-3-662-44845-8_28 ◽

2014 ◽

pp. 432-435

Author(s):

Alexandros Arvanitidis ◽

Anna Serafi ◽

Athena Vakali ◽

Grigorios Tsoumakas

Keyword(s):

Social Media

Evidence-Based Clustering for Scalable Inference in Markov Logic

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

10.1007/978-3-662-44845-8_17 ◽

2014 ◽

pp. 258-273 ◽

Cited By ~ 5

Author(s):

Deepak Venugopal ◽

Vibhav Gogate

Keyword(s):

Evidence Based ◽

Markov Logic ◽

Scalable Inference

Ratio-Based Multiple Kernel Clustering

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

10.1007/978-3-662-44845-8_16 ◽

2014 ◽

pp. 241-257 ◽

Cited By ~ 3

Author(s):

Grigorios Tzortzis ◽

Aristidis Likas

Keyword(s):

Multiple Kernel ◽

Kernel Clustering ◽

Multiple Kernel Clustering

Convergence of Min-Sum-Min Message-Passing for Quadratic Optimization

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

10.1007/978-3-662-44845-8_23 ◽

2014 ◽

pp. 353-368 ◽

Cited By ~ 1

Author(s):

Guoqiang Zhang ◽

Richard Heusdens

Keyword(s):

Message Passing ◽

Quadratic Optimization

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders

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

10.1007/978-3-662-44845-8_27 ◽

2014 ◽

pp. 417-431 ◽

Cited By ~ 12

Author(s):

Fuzhen Zhuang ◽

Xiaohu Cheng ◽

Sinno Jialin Pan ◽

Wenchao Yu ◽

Qing He ◽

...

Keyword(s):

Transfer Learning ◽

Multiple Sources

Be Certain of How-to before Mining Uncertain Data

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

10.1007/978-3-662-44845-8_42 ◽

2014 ◽

pp. 489-493

Author(s):

Francesco Gullo ◽

Giovanni Ponti ◽

Andrea Tagarelli

Keyword(s):

Uncertain Data

Analyzing and Grounding Social Interaction in Online and Offline Networks

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

10.1007/978-3-662-44845-8_41 ◽

2014 ◽

pp. 485-488 ◽

Cited By ~ 3

Author(s):

Martin Atzmueller

Keyword(s):

Social Interaction

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK)

Distributional Clauses Particle Filter

Agents Teaching Agents in Reinforcement Learning (Nectar Abstract)

Branty: A Social Media Ranking Tool for Brands

Evidence-Based Clustering for Scalable Inference in Markov Logic

Ratio-Based Multiple Kernel Clustering

Convergence of Min-Sum-Min Message-Passing for Quadratic Optimization

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders

Be Certain of How-to before Mining Uncertain Data

Analyzing and Grounding Social Interaction in Online and Offline Networks

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