000			04774nam a22006015i 4500
001			978-3-642-16108-7
003			DE-He213
005			20140220084548.0
007			cr nn 008mamaa
008			100831s2010 gw | s |||| 0|eng d
020			_a9783642161087 _9978-3-642-16108-7
024	7		_a10.1007/978-3-642-16108-7 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aTJFM1 _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aHutter, Marcus. _eeditor.
245	1	0	_aAlgorithmic Learning Theory _h[electronic resource] : _b21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings / _cedited by Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aXIII, 421p. 45 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 ; _v6331
505	0		_aEditors’ Introduction -- Editors’ Introduction -- Invited Papers -- Towards General Algorithms for Grammatical Inference -- The Blessing and the Curse of the Multiplicative Updates -- Discovery of Abstract Concepts by a Robot -- Contrast Pattern Mining and Its Application for Building Robust Classifiers -- Optimal Online Prediction in Adversarial Environments -- Regular Contributions -- An Algorithm for Iterative Selection of Blocks of Features -- Bayesian Active Learning Using Arbitrary Binary Valued Queries -- Approximation Stability and Boosting -- A Spectral Approach for Probabilistic Grammatical Inference on Trees -- PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation -- Inferring Social Networks from Outbreaks -- Distribution-Dependent PAC-Bayes Priors -- PAC Learnability of a Concept Class under Non-atomic Measures: A Problem by Vidyasagar -- A PAC-Bayes Bound for Tailored Density Estimation -- Compressed Learning with Regular Concept -- A Lower Bound for Learning Distributions Generated by Probabilistic Automata -- Lower Bounds on Learning Random Structures with Statistical Queries -- Recursive Teaching Dimension, Learning Complexity, and Maximum Classes -- Toward a Classification of Finite Partial-Monitoring Games -- Switching Investments -- Prediction with Expert Advice under Discounted Loss -- A Regularization Approach to Metrical Task Systems -- Solutions to Open Questions for Non-U-Shaped Learning with Memory Limitations -- Learning without Coding -- Learning Figures with the Hausdorff Metric by Fractals -- Inductive Inference of Languages from Samplings -- Optimality Issues of Universal Greedy Agents with Static Priors -- Consistency of Feature Markov Processes -- Algorithms for Adversarial Bandit Problems with Multiple Plays -- Online Multiple Kernel Learning: Algorithms and Mistake Bounds -- An Identity for Kernel Ridge Regression.
520			_aThis book constitutes the refereed proceedings of the 21th International Conference on Algorithmic Learning Theory, ALT 2010, held in Canberra, Australia, in October 2010, co-located with the 13th International Conference on Discovery Science, DS 2010. The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 44 submissions. The papers are divided into topical sections of papers on statistical learning; grammatical inference and graph learning; probably approximately correct learning; query learning and algorithmic teaching; on-line learning; inductive inference; reinforcement learning; and on-line learning and kernel methods.
650		0	_aComputer science.
650		0	_aComputer software.
650		0	_aLogic design.
650		0	_aArtificial intelligence.
650		0	_aEducation.
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	_aComputers and Education.
700	1		_aStephan, Frank. _eeditor.
700	1		_aVovk, Vladimir. _eeditor.
700	1		_aZeugmann, Thomas. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642161070
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v6331
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-16108-7
912			_aZDB-2-SCS
912			_aZDB-2-LNC
999			_c112770 _d112770