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020			_a9783642409356 _9978-3-642-40935-6
024	7		_a10.1007/978-3-642-40935-6 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
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245	1	0	_aAlgorithmic Learning Theory _h[electronic resource] : _b24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings / _cedited by Sanjay Jain, R�emi Munos, Frank Stephan, Thomas Zeugmann.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aXVIII, 397 p. 30 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x0302-9743 ; _v8139
505	0		_aEditors' Introduction -- Learning and Optimizing with Preferences -- Efficient Algorithms for Combinatorial Online Prediction -- Exact Learning from Membership Queries: Some Techniques, Results and New Directions -- Online Learning Universal Algorithm for Trading in Stock Market Based on the Method of Calibration -- Combinatorial Online Prediction via Metarounding -- On Competitive Recommendations -- Online PCA with Optimal Regrets -- Inductive Inference and Grammatical Inference Partial Learning of Recursively Enumerable Languages -- Topological Separations in Inductive Inference -- PAC Learning of Some Subclasses of Context-Free Grammars with Basic Distributional Properties from Positive Data -- Universal Knowledge-Seeking Agents for Stochastic Environments -- Teaching and Learning from Queries Order Compression Schemes -- Learning a Bounded-Degree Tree Using Separator Queries -- Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates -- Robust Risk-Averse Stochastic Multi-armed Bandits -- An Efficient Algorithm for Learning with Semi-bandit Feedback -- Differentially-Private Learning of Low Dimensional Manifolds -- Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data -- Adaptive Metric Dimensionality Reduction -- Dimension-Adaptive Bounds on Compressive FLD Classification -- Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study -- Concentration and Confidence for Discrete Bayesian Sequence Predictors -- Algorithmic Connections between Active Learning and Stochastic Convex Optimization -- Unsupervised/Semi-Supervised Learning Unsupervised Model-Free Representation Learning -- Fast Spectral Clustering via the Nystr�om Method -- Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series.
520			_aThis 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.
650		0	_aComputer science.
650		0	_aComputers.
650		0	_aAlgorithms.
650		0	_aComputer logic.
650		0	_aMathematical logic.
650		0	_aArtificial intelligence.
650		0	_aPattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aMathematical Logic and Formal Languages.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aComputation by Abstract Devices.
650	2	4	_aLogics and Meanings of Programs.
650	2	4	_aPattern Recognition.
700	1		_aJain, Sanjay. _eeditor.
700	1		_aMunos, R�emi. _eeditor.
700	1		_aStephan, Frank. _eeditor.
700	1		_aZeugmann, Thomas. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642409349
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v8139
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-40935-6
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