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04389nam a22005775i 4500 |
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978-3-540-31696-1 |
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100319s2005 gw | s |||| 0|eng d |
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|a 9783540316961
|9 978-3-540-31696-1
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|a 10.1007/11564089
|2 doi
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|d GrThAP
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|a Q334-342
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|a TJ210.2-211.495
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|a UYQ
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|a COM004000
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|a 006.3
|2 23
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|a Algorithmic Learning Theory
|h [electronic resource] :
|b 16th International Conference, ALT 2005, Singapore, October 8-11, 2005. Proceedings /
|c edited by Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2005.
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|a XII, 491 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 3734
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|a Editors’ Introduction -- Editors’ Introduction -- Invited Papers -- Invention and Artificial Intelligence -- The Arrowsmith Project: 2005 Status Report -- The Robot Scientist Project -- Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources -- Training Support Vector Machines via SMO-Type Decomposition Methods -- Kernel-Based Learning -- Measuring Statistical Dependence with Hilbert-Schmidt Norms -- An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron -- Learning Causal Structures Based on Markov Equivalence Class -- Stochastic Complexity for Mixture of Exponential Families in Variational Bayes -- ACME: An Associative Classifier Based on Maximum Entropy Principle -- Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors -- On Computability of Pattern Recognition Problems -- PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance -- Learnability of Probabilistic Automata via Oracles -- Learning Attribute-Efficiently with Corrupt Oracles -- Learning DNF by Statistical and Proper Distance Queries Under the Uniform Distribution -- Learning of Elementary Formal Systems with Two Clauses Using Queries -- Gold-Style and Query Learning Under Various Constraints on the Target Class -- Non U-Shaped Vacillatory and Team Learning -- Learning Multiple Languages in Groups -- Inferring Unions of the Pattern Languages by the Most Fitting Covers -- Identification in the Limit of Substitutable Context-Free Languages -- Algorithms for Learning Regular Expressions -- A Class of Prolog Programs with Non-linear Outputs Inferable from Positive Data -- Absolute Versus Probabilistic Classification in a Logical Setting -- Online Allocation with Risk Information -- Defensive Universal Learning with Experts -- On Following the Perturbed Leader in the Bandit Setting -- Mixture of Vector Experts -- On-line Learning with Delayed Label Feedback -- Monotone Conditional Complexity Bounds on Future Prediction Errors -- Non-asymptotic Calibration and Resolution -- Defensive Prediction with Expert Advice -- Defensive Forecasting for Linear Protocols -- Teaching Learners with Restricted Mind Changes.
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|a Computer science.
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|a Computers.
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|a Algorithms.
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|a Mathematical logic.
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|a Artificial intelligence.
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|a Text processing (Computer science).
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|a Computer Science.
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|a Artificial Intelligence (incl. Robotics).
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|a Computation by Abstract Devices.
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|a Algorithm Analysis and Problem Complexity.
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|a Mathematical Logic and Formal Languages.
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|a Document Preparation and Text Processing.
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|a Jain, Sanjay.
|e editor.
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|a Simon, Hans Ulrich.
|e editor.
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|a Tomita, Etsuji.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783540292425
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830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 3734
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|u http://dx.doi.org/10.1007/11564089
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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912 |
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|a ZDB-2-LNC
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950 |
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|a Computer Science (Springer-11645)
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