MARC details
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05922nam a22006015i 4500 |
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978-3-642-16108-7 |
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DE-He213 |
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20170628035335.0 |
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cr nn 008mamaa |
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100831s2010 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783642161087 |
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978-3-642-16108-7 |
| 024 7# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1007/978-3-642-16108-7 |
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doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
Q334-342 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
TJ210.2-211.495 |
| 072 #7 - SUBJECT CATEGORY CODE |
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UYQ |
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bicssc |
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TJFM1 |
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bicssc |
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| Subject category code |
COM004000 |
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bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.3 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Hutter, Marcus. |
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editor. |
| 245 10 - TITLE STATEMENT |
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| Title |
Algorithmic Learning Theory |
| Medium |
[electronic resource] : |
| Remainder of title |
21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings / |
| Statement of responsibility, etc |
edited by Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann. |
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Berlin, Heidelberg : |
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Springer Berlin Heidelberg, |
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2010. |
| 300 ## - PHYSICAL DESCRIPTION |
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XIII, 421p. 45 illus. |
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online resource. |
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text |
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txt |
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rdacontent |
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computer |
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rdamedia |
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online resource |
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cr |
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rdacarrier |
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text file |
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PDF |
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rda |
| 490 1# - SERIES STATEMENT |
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| Series statement |
Lecture Notes in Computer Science, |
| International Standard Serial Number |
0302-9743 ; |
| Volume number/sequential designation |
6331 |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Editors’ 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 ## - SUMMARY, ETC. |
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| Summary, etc |
This volume contains the papers presented at the 21st International Conf- ence on Algorithmic Learning Theory (ALT 2010), which was held in Canberra, Australia, October 6–8, 2010. The conference was co-located with the 13th - ternational Conference on Discovery Science (DS 2010) and with the Machine Learning Summer School, which was held just before ALT 2010. The tech- cal program of ALT 2010, contained 26 papers selected from 44 submissions and ?ve invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2010 was dedicated to the theoretical foundations of machine learning and took place on the campus of the Australian National University, Canberra, Australia. ALT provides a forum for high-quality talks with a strong theore- cal background and scienti?c interchange in areas such as inductive inference, universal prediction, teaching models, grammatical inference, formal languages, inductive logic programming, query learning, complexity of learning, on-line learning and relative loss bounds, semi-supervised and unsupervised learning, clustering,activelearning,statisticallearning,supportvectormachines,Vapnik- Chervonenkisdimension,probablyapproximatelycorrectlearning,Bayesianand causal networks, boosting and bagging, information-based methods, minimum descriptionlength,Kolmogorovcomplexity,kernels,graphlearning,decisiontree methods, Markov decision processes, reinforcement learning, and real-world - plications of algorithmic learning theory. DS 2010 was the 13th International Conference on Discovery Science and focused on the development and analysis of methods for intelligent data an- ysis, knowledge discovery and machine learning, as well as their application to scienti?c knowledge discovery. As is the tradition, it was co-located and held in parallel with Algorithmic Learning Theory. |
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Computer science. |
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Computer software. |
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Logic design. |
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Artificial intelligence. |
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Education. |
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Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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Mathematical Logic and Formal Languages. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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Algorithm Analysis and Problem Complexity. |
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Computation by Abstract Devices. |
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Logics and Meanings of Programs. |
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Computers and Education. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Stephan, Frank. |
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editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Vovk, Vladimir. |
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editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Zeugmann, Thomas. |
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editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
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SpringerLink (Online service) |
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Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Display text |
Printed edition: |
| International Standard Book Number |
9783642161070 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
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| Uniform title |
Lecture Notes in Computer Science, |
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0302-9743 ; |
| Volume number/sequential designation |
6331 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/978-3-642-16108-7">http://dx.doi.org/10.1007/978-3-642-16108-7</a> |
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