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|a 9783540879879
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|a 10.1007/978-3-540-87987-9
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|a QA76.9.D343
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|a 006.312
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|a Algorithmic Learning Theory
|h [electronic resource] :
|b 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008, Proceedings /
|c edited by Yoav Freund, László Györfi, György Turán, Thomas Zeugmann.
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|a 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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|a XIII, 467 p.
|b online resource.
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|a text
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|b PDF
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|a Lecture Notes in Artificial Intelligence ;
|v 5254
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|a Invited Papers -- On Iterative Algorithms with an Information Geometry Background -- Visual Analytics: Combining Automated Discovery with Interactive Visualizations -- Some Mathematics behind Graph Property Testing -- Finding Total and Partial Orders from Data for Seriation -- Computational Models of Neural Representations in the Human Brain -- Regular Contributions -- Generalization Bounds for Some Ordinal Regression Algorithms -- Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm -- Sample Selection Bias Correction Theory -- Exploiting Cluster-Structure to Predict the Labeling of a Graph -- A Uniform Lower Error Bound for Half-Space Learning -- Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces -- Learning and Generalization with the Information Bottleneck -- Growth Optimal Investment with Transaction Costs -- Online Regret Bounds for Markov Decision Processes with Deterministic Transitions -- On-Line Probability, Complexity and Randomness -- Prequential Randomness -- Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor -- Nonparametric Independence Tests: Space Partitioning and Kernel Approaches -- Supermartingales in Prediction with Expert Advice -- Aggregating Algorithm for a Space of Analytic Functions -- Smooth Boosting for Margin-Based Ranking -- Learning with Continuous Experts Using Drifting Games -- Entropy Regularized LPBoost -- Optimally Learning Social Networks with Activations and Suppressions -- Active Learning in Multi-armed Bandits -- Query Learning and Certificates in Lattices -- Clustering with Interactive Feedback -- Active Learning of Group-Structured Environments -- Finding the Rare Cube -- Iterative Learning of Simple External Contextual Languages -- Topological Properties of Concept Spaces -- Dynamically Delayed Postdictive Completeness and Consistency in Learning -- Dynamic Modeling in Inductive Inference -- Optimal Language Learning -- Numberings Optimal for Learning -- Learning with Temporary Memory -- Erratum: Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors.
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|a This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.
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|a Data mining.
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|a Artificial intelligence.
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|a Natural language processing (Computer science).
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|a Application software.
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|a Data Mining and Knowledge Discovery.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18030
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|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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|a Natural Language Processing (NLP).
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21040
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|a Computer Appl. in Arts and Humanities.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I23036
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|a Freund, Yoav.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Györfi, László.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Turán, György.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Zeugmann, Thomas.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540880974
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|i Printed edition:
|z 9783540879862
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|a Lecture Notes in Artificial Intelligence ;
|v 5254
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|u https://doi.org/10.1007/978-3-540-87987-9
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a ZDB-2-LNC
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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