Coverart for item
The Resource Algorithmic learning theory : 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings, Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann (eds.), (electronic book)

Algorithmic learning theory : 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings, Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann (eds.), (electronic book)

Label
Algorithmic learning theory : 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings
Title
Algorithmic learning theory
Title remainder
24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings
Statement of responsibility
Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann (eds.)
Title variation
ALT 2013
Creator
Contributor
Subject
Genre
Language
eng
Summary
This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013. The 23 papers presented in this volume were carefully reviewed and selected from 39 submissions. In addition the book contains 3 full papers of invited talks. The papers are organized in topical sections named: online learning, inductive inference and grammatical inference, teaching and learning from queries, bandit theory, statistical learning theory, Bayesian/stochastic learning, and unsupervised/semi-supervised learning
Member of
Cataloging source
GW5XE
Dewey number
006.3/1
http://bibfra.me/vocab/relation/editorofcompilaton
-c_1tjgBWgo
Illustrations
illustrations
Index
index present
LC call number
QA76.9.A43
LC item number
A48 2013
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2013
http://bibfra.me/vocab/lite/meetingName
ALT (Conference)
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorDate
1965 February 22-
http://library.link/vocab/relatedWorkOrContributorName
Jain, Sanjay
Series statement
  • Lecture notes in artificial intelligence,
  • LNCS sublibrary. SL 7, Artificial intelligence
Series volume
8139
http://library.link/vocab/subjectName
  • Computer algorithms
  • Machine learning
Label
Algorithmic learning theory : 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings, Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann (eds.), (electronic book)
Instantiates
Publication
Note
  • International conference proceedings
  • Includes author index
Antecedent source
unknown
Color
multicolored
Contents
  • Nader H. Bshouty
  • Regular Contributions.
  • Online Learning.
  • Universal Algorithm for Trading in Stock Market Based on the Method of Calibration
  • Vladimir V'yugin
  • Combinatorial Online Prediction via Metarounding
  • Takahiro Fujita, Kohei Hatano and Eiji Takimoto
  • On Competitive Recommendations
  • Jara Uitto and Roger Wattenhofer
  • Online PCA with Optimal Regrets
  • Editors' Introduction
  • Jiazhong Nie, Wojciech Kotłowski and Manfred K. Warmuth --
  • Sanjay Jain ... [et al.]
  • Full Invited Papers.
  • Learning and Optimizing with Preferences
  • Nir Ailon
  • Efficient Algorithms for Combinatorial Online Prediction
  • Eiji Takimoto and Kohei Hatano
  • Exact Learning from Membership Queries: Some Techniques, Results and New Directions
  • Laurent Orseau, Tor Lattimore and Marcus Hutter
  • Teaching and Learning from Queries.
  • Order Compression Schemes
  • Malte Darnstädt ... [et al.]
  • Learning a Bounded-Degree Tree Using Separator Queries
  • M. Jagadish and Anindya Sen --
  • Inductive Inference and Grammatical Inference.
  • Partial Learning of Recursively Enumerable Languages
  • Ziyuan Gao, Frank Stephan and Sandra Zilles
  • Topological Separations in Inductive Inference
  • John Case and Timo Kötzing
  • PAC Learning of Some Subclasses of Context-Free Grammars with Basic Distributional Properties from Positive Data
  • Chihiro Shibata and Ryo Yoshinaka
  • Universal Knowledge-Seeking Agents for Stochastic Environments
  • Differentially-Private Learning of Low Dimensional Manifolds
  • Anna Choromanska ... [et al.]
  • Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data
  • Nguyen Viet Cuong, Lam Si Tung Ho and Vu Dinh
  • Adaptive Metric Dimensionality Reduction
  • Lee-Ad Gottlieb, Aryeh Kontorovich and Robert Krauthgamer
  • Dimension-Adaptive Bounds on Compressive FLD Classification
  • Ata Kabán and Robert J. Durrant --
  • Bandit Theory.
  • Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates
  • Po-Ling Loh and Sebastian Nowozin
  • Robust Risk-Averse Stochastic Multi-armed Bandits
  • Odalric-Ambrym Maillard
  • An Efficient Algorithm for Learning with Semi-bandit Feedback
  • Gergely Neu and Gábor Bartók
  • Statistical Learning Theory.
  • Unsupervised Model-Free Representation Learning
  • Daniil Ryabko
  • Fast Spectral Clustering via the Nyström Method
  • Anna Choromanska ... [et al.]
  • Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series
  • Azadeh Khaleghi and Daniil Ryabko
  • Bayesian/Stochastic Learning.
  • Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study
  • Pierre Alquier
  • Concentration and Confidence for Discrete Bayesian Sequence Predictors
  • Tor Lattimore, Marcus Hutter and Peter Sunehag
  • Algorithmic Connections between Active Learning and Stochastic Convex Optimization
  • Aaditya Ramdas and Aarti Singh
  • Unsupervised/Semi-Supervised Learning.
Control code
SPR860981240
Dimensions
unknown
Extent
1 online resource (xviii, 397 pages)
File format
unknown
Form of item
online
Isbn
9783642409356
Level of compression
unknown
Other control number
10.1007/978-3-642-40935-6
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote
Label
Algorithmic learning theory : 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings, Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann (eds.), (electronic book)
Publication
Note
  • International conference proceedings
  • Includes author index
Antecedent source
unknown
Color
multicolored
Contents
  • Nader H. Bshouty
  • Regular Contributions.
  • Online Learning.
  • Universal Algorithm for Trading in Stock Market Based on the Method of Calibration
  • Vladimir V'yugin
  • Combinatorial Online Prediction via Metarounding
  • Takahiro Fujita, Kohei Hatano and Eiji Takimoto
  • On Competitive Recommendations
  • Jara Uitto and Roger Wattenhofer
  • Online PCA with Optimal Regrets
  • Editors' Introduction
  • Jiazhong Nie, Wojciech Kotłowski and Manfred K. Warmuth --
  • Sanjay Jain ... [et al.]
  • Full Invited Papers.
  • Learning and Optimizing with Preferences
  • Nir Ailon
  • Efficient Algorithms for Combinatorial Online Prediction
  • Eiji Takimoto and Kohei Hatano
  • Exact Learning from Membership Queries: Some Techniques, Results and New Directions
  • Laurent Orseau, Tor Lattimore and Marcus Hutter
  • Teaching and Learning from Queries.
  • Order Compression Schemes
  • Malte Darnstädt ... [et al.]
  • Learning a Bounded-Degree Tree Using Separator Queries
  • M. Jagadish and Anindya Sen --
  • Inductive Inference and Grammatical Inference.
  • Partial Learning of Recursively Enumerable Languages
  • Ziyuan Gao, Frank Stephan and Sandra Zilles
  • Topological Separations in Inductive Inference
  • John Case and Timo Kötzing
  • PAC Learning of Some Subclasses of Context-Free Grammars with Basic Distributional Properties from Positive Data
  • Chihiro Shibata and Ryo Yoshinaka
  • Universal Knowledge-Seeking Agents for Stochastic Environments
  • Differentially-Private Learning of Low Dimensional Manifolds
  • Anna Choromanska ... [et al.]
  • Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data
  • Nguyen Viet Cuong, Lam Si Tung Ho and Vu Dinh
  • Adaptive Metric Dimensionality Reduction
  • Lee-Ad Gottlieb, Aryeh Kontorovich and Robert Krauthgamer
  • Dimension-Adaptive Bounds on Compressive FLD Classification
  • Ata Kabán and Robert J. Durrant --
  • Bandit Theory.
  • Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates
  • Po-Ling Loh and Sebastian Nowozin
  • Robust Risk-Averse Stochastic Multi-armed Bandits
  • Odalric-Ambrym Maillard
  • An Efficient Algorithm for Learning with Semi-bandit Feedback
  • Gergely Neu and Gábor Bartók
  • Statistical Learning Theory.
  • Unsupervised Model-Free Representation Learning
  • Daniil Ryabko
  • Fast Spectral Clustering via the Nyström Method
  • Anna Choromanska ... [et al.]
  • Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series
  • Azadeh Khaleghi and Daniil Ryabko
  • Bayesian/Stochastic Learning.
  • Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study
  • Pierre Alquier
  • Concentration and Confidence for Discrete Bayesian Sequence Predictors
  • Tor Lattimore, Marcus Hutter and Peter Sunehag
  • Algorithmic Connections between Active Learning and Stochastic Convex Optimization
  • Aaditya Ramdas and Aarti Singh
  • Unsupervised/Semi-Supervised Learning.
Control code
SPR860981240
Dimensions
unknown
Extent
1 online resource (xviii, 397 pages)
File format
unknown
Form of item
online
Isbn
9783642409356
Level of compression
unknown
Other control number
10.1007/978-3-642-40935-6
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote

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