Lecture Notes in Computer Science - Algorithmic Learning Theory
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Published By Springer Berlin Heidelberg

9783540202912, 9783540396246

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Efficient Data Representations That Preserve Information

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-39624-6_4 ◽

2003 ◽

pp. 16-16

Author(s):

Naftali Tishby

Keyword(s):

Data Representations ◽

Efficient Data

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Learning a Subclass of Regular Patterns in Polynomial Time

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-39624-6_19 ◽

2003 ◽

pp. 234-246 ◽

Cited By ~ 2

Author(s):

John Case ◽

Sanjay Jain ◽

Rüdiger Reischuk ◽

Frank Stephan ◽

Thomas Zeugmann

Keyword(s):

Polynomial Time ◽

Regular Patterns

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Signal Extraction and Knowledge Discovery Based on Statistical Modeling

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-39624-6_2 ◽

2003 ◽

pp. 3-14

Author(s):

Genshiro Kitagawa

Keyword(s):

Knowledge Discovery ◽

Statistical Modeling ◽

Signal Extraction

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Intrinsic Complexity of Uniform Learning

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-39624-6_6 ◽

2003 ◽

pp. 39-53

Author(s):

Sandra Zilles

Keyword(s):

Intrinsic Complexity

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Kernel Trick Embedded Gaussian Mixture Model

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-39624-6_14 ◽

2003 ◽

pp. 159-174 ◽

Cited By ~ 13

Author(s):

Jingdong Wang ◽

Jianguo Lee ◽

Changshui Zhang

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Kernel Trick

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Well-Calibrated Predictions from Online Compression Models

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-39624-6_22 ◽

2003 ◽

pp. 268-282

Author(s):

Vladimir Vovk

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Identification with Probability One of Stochastic Deterministic Linear Languages

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-39624-6_20 ◽

2003 ◽

pp. 247-258 ◽

Cited By ~ 2

Author(s):

Colin de la Higuera ◽

Jose Oncina

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Robust Inference of Relevant Attributes

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-39624-6_10 ◽

2003 ◽

pp. 99-113 ◽

Cited By ~ 5

Author(s):

Jan Arpe ◽

Rüdiger Reischuk

Keyword(s):

Robust Inference

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A Stochastic Gradient Descent Algorithm for Structural Risk Minimisation

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-39624-6_17 ◽

2003 ◽

pp. 205-220 ◽

Cited By ~ 1

Author(s):

Joel Ratsaby

Keyword(s):

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Risk Minimisation ◽

Descent Algorithm ◽

Gradient Descent Algorithm ◽

Structural Risk

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Abduction and the Dualization Problem

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-39624-6_1 ◽

2003 ◽

pp. 1-2

Author(s):

Thomas Eiter

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Lecture Notes in Computer Science - Algorithmic Learning TheoryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Efficient Data Representations That Preserve Information

Learning a Subclass of Regular Patterns in Polynomial Time

Signal Extraction and Knowledge Discovery Based on Statistical Modeling

Intrinsic Complexity of Uniform Learning

Kernel Trick Embedded Gaussian Mixture Model

Well-Calibrated Predictions from Online Compression Models

Identification with Probability One of Stochastic Deterministic Linear Languages

Robust Inference of Relevant Attributes

A Stochastic Gradient Descent Algorithm for Structural Risk Minimisation

Abduction and the Dualization Problem

Lecture Notes in Computer Science - Algorithmic Learning Theory
Latest Publications