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ORCID13. ALT 2002: Lübeck, Germany
- Nicolò Cesa-Bianchi, Masayuki Numao, Rüdiger Reischuk:
Algorithmic Learning Theory, 13th International Conference, ALT 2002, Lübeck, Germany, November 24-26, 2002, Proceedings. Lecture Notes in Computer Science 2533, Springer 2002, ISBN 3-540-00170-0 - Nicolò Cesa-Bianchi, Masayuki Numao, Rüdiger Reischuk:
Editors' Introduction. 1-6
Invited Papers
- Susumu Hayashi:
Mathematics Based on Learning. 7-21 - Rudolf Kruse, Christian Borgelt:
Data Mining with Graphical Models. 22 - John Shawe-Taylor
, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola:
On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. 23-40 - Gerhard Widmer:
In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project. 41 - Ian H. Witten:
Learning Structure from Sequences, with Applications in a Digital Library. 42-56
Regular Contributions
Learning Boolean Functions
- Kazuyuki Amano, Akira Maruoka:
On Learning Monotone Boolean Functions under the Uniform Distribution. 57-68 - Rocco A. Servedio:
On Learning Embedded Midbit Functions. 69-82 - Nader H. Bshouty, Lynn Burroughs:
Maximizing Agreements and CoAgnostic Learning. 83-97
Boosting and Margin-Based Learning
- Dmitry Gavinsky:
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning. 98-112 - Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson:
Large Margin Classification for Moving Targets. 113-127 - Jürgen Forster, Hans Ulrich Simon:
On the Smallest Possible Dimension and the Largest Possible Margin of Linear Arrangements Representing Given Concept Classes Uniform Distribution. 128-138
Learning with Queries
- Johannes Köbler, Wolfgang Lindner:
A General Dimension for Approximately Learning Boolean Functions. 139-148 - Johannes Köbler, Wolfgang Lindner:
The Complexity of Learning Concept Classes with Polynomial General Dimension. 149-163 - Yuri Kalnishkan, Michael V. Vyugin:
On the Absence of Predictive Complexity for Some Games. 164-172
Learning and Information Extraction
- Gunter Grieser, Klaus P. Jantke, Steffen Lange:
Consistency Queries in Information Extraction. 173-187 - Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Tetsuhiro Miyahara:
Ordered Term Tree Languages which Are Polynomial Time Inductively Inferable from Positive Data. 188-202
Inductive Inference
- Gunter Grieser:
Reflective Inductive Inference of Recursive Functions. 203-217 - Sanjay Jain, Wolfram Menzel, Frank Stephan:
Classes with Easily Learnable Subclasses. 218-232 - Valentina S. Harizanov, Frank Stephan:
On the Learnability of Vector Spaces. 233-247 - Eric Martin, Arun Sharma, Frank Stephan:
Learning, Logic, and Topology in a Common Framework. 248-262
Inductive Logic Programming
- Johannes Fürnkranz:
A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning. 263-277 - Bertram Fronhöfer, Akihiro Yamamoto:
Minimised Residue Hypotheses in Relevant Logic. 278-292
Language Learning
- Jin Uemura, Masako Sato:
Compactness and Learning of Classes of Unions of Erasing Regular Pattern Languages. 293-307 - Daniel Reidenbach:
A Negative Result on Inductive Inference of Extended Pattern Languages. 308-320
Statistical Learning
- Michael Schmitt:
RBF Neural Networks and Descartes' Rule of Signs. 321-335 - Vladimir Vovk:
Asymptotic Optimality of Transductive Confidence Machine. 336-350 - Sanjoy Dasgupta, Elan Pavlov, Yoram Singer:
An Efficient PAC Algorithm for Reconstructing a Mixture of Lines. 351-364 - Sariel Har-Peled, Dan Roth, Dav Zimak:
Constraint Classification: A New Approach to Multiclass Classification. 365-379 - Dietrich Braess, Jürgen Forster, Tomas Sauer, Hans Ulrich Simon:
How to Achieve Minimax Expected Kullback-Leibler Distance from an Unknown Finite Distribution. 380-394
Applications and Heuristics
- Tony Lindgren, Henrik Boström:
Classification with Intersecting Rules. 395-402 - Rémi Coulom:
Feedforward Neural Networks in Reinforcement Learning Applied to High-Dimensional Motor Control. 403-414
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