Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319235271, 9783319235288

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Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization

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

10.1007/978-3-319-23528-8_32 ◽

2015 ◽

pp. 516-532 ◽

Cited By ~ 5

Author(s):

Alexander G. Ororbia ◽

David Reitter ◽

Jian Wu ◽

C. Lee Giles

Keyword(s):

Online Learning ◽

Hybrid Architectures

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Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning Markets

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

10.1007/978-3-319-23528-8_35 ◽

2015 ◽

pp. 560-574

Author(s):

Amos J. Storkey ◽

Zhanxing Zhu ◽

Jinli Hu

Keyword(s):

Machine Learning ◽

Rényi Divergence

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Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem

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

10.1007/978-3-319-23528-8_27 ◽

2015 ◽

pp. 433-447 ◽

Cited By ~ 11

Author(s):

Asma Dachraoui ◽

Alexis Bondu ◽

Antoine Cornuéjols

Keyword(s):

Decision Making ◽

Time Series ◽

Sequential Decision Making ◽

Sequential Decision ◽

Early Classification ◽

Decision Making Problem

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Refined Algorithms for Infinitely Many-Armed Bandits with Deterministic Rewards

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

10.1007/978-3-319-23528-8_29 ◽

2015 ◽

pp. 464-479

Author(s):

Yahel David ◽

Nahum Shimkin

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Markov Blanket Discovery in Positive-Unlabelled and Semi-supervised Data

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

10.1007/978-3-319-23528-8_22 ◽

2015 ◽

pp. 351-366 ◽

Cited By ~ 3

Author(s):

Konstantinos Sechidis ◽

Gavin Brown

Keyword(s):

Markov Blanket

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Discriminative Interpolation for Classification of Functional Data

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

10.1007/978-3-319-23528-8_2 ◽

2015 ◽

pp. 20-36 ◽

Cited By ~ 3

Author(s):

Rana Haber ◽

Anand Rangarajan ◽

Adrian M. Peter

Keyword(s):

Functional Data

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Generalization in Unsupervised Learning

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

10.1007/978-3-319-23528-8_19 ◽

2015 ◽

pp. 300-317

Author(s):

Karim T. Abou-Moustafa ◽

Dale Schuurmans

Keyword(s):

Unsupervised Learning

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Scoring and Classifying with Gated Auto-Encoders

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

10.1007/978-3-319-23528-8_33 ◽

2015 ◽

pp. 533-545 ◽

Cited By ~ 1

Author(s):

Daniel Jiwoong Im ◽

Graham W. Taylor

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Higher Order Fused Regularization for Supervised Learning with Grouped Parameters

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

10.1007/978-3-319-23528-8_36 ◽

2015 ◽

pp. 577-593 ◽

Cited By ~ 1

Author(s):

Koh Takeuchi ◽

Yoshinobu Kawahara ◽

Tomoharu Iwata

Keyword(s):

Supervised Learning ◽

Higher Order

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Drift Detection Using Stream Volatility

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

10.1007/978-3-319-23528-8_26 ◽

2015 ◽

pp. 417-432 ◽

Cited By ~ 8

Author(s):

David Tse Jung Huang ◽

Yun Sing Koh ◽

Gillian Dobbie ◽

Albert Bifet

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization

Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning Markets

Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem

Refined Algorithms for Infinitely Many-Armed Bandits with Deterministic Rewards

Markov Blanket Discovery in Positive-Unlabelled and Semi-supervised Data

Discriminative Interpolation for Classification of Functional Data

Generalization in Unsupervised Learning

Scoring and Classifying with Gated Auto-Encoders

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters

Drift Detection Using Stream Volatility

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