Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science
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9783642449574, 9783642449581

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Inductive Inference and Partition Exchangeability in Classification

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-44958-1_7 ◽

2013 ◽

pp. 91-105 ◽

Cited By ~ 2

Author(s):

Jukka Corander ◽

Yaqiong Cui ◽

Timo Koski

Keyword(s):

Inductive Inference

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Complexity Measures for Meta-learning and Their Optimality

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-44958-1_15 ◽

2013 ◽

pp. 198-210 ◽

Cited By ~ 2

Author(s):

Norbert Jankowski

Keyword(s):

Complexity Measures ◽

Meta Learning

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Further Reflections on the Timescale of AI

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-44958-1_13 ◽

2013 ◽

pp. 174-183 ◽

Cited By ~ 3

Author(s):

J. Storrs Hall

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A Critical Survey of Some Competing Accounts of Concrete Digital Computation

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-44958-1_12 ◽

2013 ◽

pp. 155-173

Author(s):

Nir Fresco

Keyword(s):

Critical Survey ◽

Digital Computation

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Algorithmic Simplicity and Relevance

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-44958-1_9 ◽

2013 ◽

pp. 119-130 ◽

Cited By ~ 3

Author(s):

Jean-Louis Dessalles

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Algorithmic Information Theory and Computational Complexity

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-44958-1_11 ◽

2013 ◽

pp. 142-154

Author(s):

Rūsiņš Freivalds

Keyword(s):

Information Theory ◽

Computational Complexity ◽

Algorithmic Information Theory ◽

Algorithmic Information

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Principles of Solomonoff Induction and AIXI

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-44958-1_30 ◽

2013 ◽

pp. 386-398

Author(s):

Peter Sunehag ◽

Marcus Hutter

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Partial Match Distance

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-44958-1_4 ◽

2013 ◽

pp. 55-64 ◽

Cited By ~ 1

Author(s):

Ming Li

Keyword(s):

Partial Match

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MDL/Bayesian Criteria Based on Universal Coding/Measure

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-44958-1_31 ◽

2013 ◽

pp. 399-410 ◽

Cited By ~ 1

Author(s):

Joe Suzuki

Keyword(s):

Universal Coding ◽

Bayesian Criteria

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On the Application of Algorithmic Probability to Autoregressive Models

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-44958-1_29 ◽

2013 ◽

pp. 366-385

Author(s):

Ray J. Solomonoff ◽

Elias G. Saleeby

Keyword(s):

Autoregressive Models ◽

Algorithmic Probability

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Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Inductive Inference and Partition Exchangeability in Classification

Complexity Measures for Meta-learning and Their Optimality

Further Reflections on the Timescale of AI

A Critical Survey of Some Competing Accounts of Concrete Digital Computation

Algorithmic Simplicity and Relevance

Algorithmic Information Theory and Computational Complexity

Principles of Solomonoff Induction and AIXI

Partial Match Distance

MDL/Bayesian Criteria Based on Universal Coding/Measure

On the Application of Algorithmic Probability to Autoregressive Models

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Lecture Notes in Computer Science
Latest Publications