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ORCID3. EuroCOLT 1997: Jerusalem, Israel
- Shai Ben-David:
Computational Learning Theory, Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17-19, 1997, Proceedings. Lecture Notes in Computer Science 1208, Springer 1997, ISBN 3-540-62685-9 - Manfred K. Warmuth:
Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension. 1-2 - Amos Beimel, Eyal Kushilevitz:
Learning Boxes in High Dimension. 3-15 - David Guijarro, Víctor Lavín, Vijay Raghavan:
Learning Monotone Term Decision Lists. 16-26 - Nader H. Bshouty, Christino Tamon, David K. Wilson:
Learning Matrix Functions over Rings. 27-37 - Robert H. Sloan, György Turán:
Learning from Incomplete Boundary Queries Using Split Graphs and Hypergraphs. 38-50 - Joel Ratsaby, Vitaly Maiorov:
Generalization of the PAC-Model for Learning with Partial Information. 51-65 - Léa Meyer:
Monotonic and Dual-Monotonic Probabilistic Language Learning of Indexed Families with High Probability. 66-78 - Juris Smotrovs
:
Closedness Properties in Team Learning of Recursive Functions. 79-93 - Matthias Ott, Frank Stephan:
Structural Measures for Games and Process Control in the Branch Learning Model. 94-108 - Yoav Freund, Yishay Mansour:
Learning Under Persistent Drift. 109-118 - Nicolò Cesa-Bianchi, Paul Fischer, Eli Shamir, Hans Ulrich Simon:
Randomized Hypotheses and Minimum Disagreement Hypotheses for Learning with Noise. 119-133 - David P. Helmbold, Stephen Kwek, Leonard Pitt:
Learning When to Trust Which Experts. 134-149 - Francesco Bergadano, Nader H. Bshouty, Christino Tamon, Stefano Varricchio:
On Learning Programs and Small Depth Circuits. 150-161 - Jorge Castro, David Guijarro, Víctor Lavín:
Learning Nearly Monotone k-term DNF. 162-170 - Ryuhei Uehara, Kensei Tsuchida, Ingo Wegener:
Optimal Attribute-Efficient Learning of Disjunction, Parity and Threshold Functions. 171-184 - Satoshi Matsumoto, Ayumi Shinohara:
Learning Pattern Languages Using Queries. 185-197 - Andreas Birkendorf:
On Fast and Simple Algorithms for Finding Maximal Subarrays and Applications in Learning Theory. 198-209 - Peter L. Bartlett, Tamás Linder, Gábor Lugosi:
A Minimax Lower Bound for Empirical Quantizer Design. 210-222 - Pascal Koiran, Eduardo D. Sontag:
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks. 223-237 - Leonid Gurvits:
Linear Algebraic Proofs of VC-Dimension Based Inequalities. 238-250 - Jonathan Baxter, Peter L. Bartlett:
A Result Relating Convex n-Widths to Covering Numbers with some Applications to Neural Networks. 251-259 - John Shawe-Taylor:
Confidence Estimates of Classification Accuracy on New Examples. 260-271 - Janis Barzdins, Rusins Freivalds, Carl H. Smith:
Learning Formulae from Elementary Facts. 272-285 - John Case, Sanjay Jain, Mandayam Suraj:
Control Structures in Hypothesis Spaces: The Influence on Learning. 286-300 - Andris Ambainis, Sanjay Jain, Arun Sharma:
Ordinal Mind Change Complexity of Language Identification. 301-315 - Susanne Kaufmann, Frank Stephan:
Robust Learning with Infinite Additional Information. 316-330
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