LEADER 05821nam 22008175 450 001 9910484834203321 005 20240814170657.0 010 $a3-642-40935-0 024 7 $a10.1007/978-3-642-40935-6 035 $a(CKB)3710000000019169 035 $a(SSID)ssj0001010909 035 $a(PQKBManifestationID)11636646 035 $a(PQKBTitleCode)TC0001010909 035 $a(PQKBWorkID)11004327 035 $a(PQKB)11437921 035 $a(DE-He213)978-3-642-40935-6 035 $a(MiAaPQ)EBC3093163 035 $a(PPN)172430259 035 $a(EXLCZ)993710000000019169 100 $a20130927d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAlgorithmic Learning Theory $e24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings /$fedited by Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XVIII, 397 p. 30 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v8139 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-40934-2 327 $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 Nyström Method -- Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series. 330 $aThis book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013. The 23 papers presented in this volume were carefully reviewed and selected from 39 submissions. In addition the book contains 3 full papers of invited talks. The papers are organized in topical sections named: online learning, inductive inference and grammatical inference, teaching and learning from queries, bandit theory, statistical learning theory, Bayesian/stochastic learning, and unsupervised/semi-supervised learning. 410 0$aLecture Notes in Artificial Intelligence ;$v8139 606 $aArtificial intelligence 606 $aMathematical logic 606 $aAlgorithms 606 $aComputers 606 $aComputer logic 606 $aPattern recognition 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aLogics and Meanings of Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/I1603X 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aArtificial intelligence. 615 0$aMathematical logic. 615 0$aAlgorithms. 615 0$aComputers. 615 0$aComputer logic. 615 0$aPattern recognition. 615 14$aArtificial Intelligence. 615 24$aMathematical Logic and Formal Languages. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aComputation by Abstract Devices. 615 24$aLogics and Meanings of Programs. 615 24$aPattern Recognition. 676 $a006.31 702 $aJain$b Sanjay$f1965 February 22-$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMunos$b Rémi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStephan$b Frank$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZeugmann$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484834203321 996 $aAlgorithmic Learning Theory$9771965 997 $aUNINA