|
|
|
|
| LEADER |
02865nmm a2200337 u 4500 |
| 001 |
EB001855140 |
| 003 |
EBX01000000000000001019442 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
181201 ||| eng |
| 020 |
|
|
|a 9783540454359
|
| 100 |
1 |
|
|a Kivinen, Jyrki
|e [editor]
|
| 245 |
0 |
0 |
|a Computational Learning Theory
|h Elektronische Ressource
|b 15th Annual Conference on Computational Learning Theory, COLT 2002, Sydney, Australia, July 8-10, 2002. Proceedings
|c edited by Jyrki Kivinen, Robert H. Sloan
|
| 250 |
|
|
|a 1st ed. 2002
|
| 260 |
|
|
|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2002, 2002
|
| 300 |
|
|
|a XII, 412 p
|b online resource
|
| 505 |
0 |
|
|a Statistical Learning Theory -- Agnostic Learning Nonconvex Function Classes -- Entropy, Combinatorial Dimensions and Random Averages -- Geometric Parameters of Kernel Machines -- Localized Rademacher Complexities -- Some Local Measures of Complexity of Convex Hulls and Generalization Bounds -- Online Learning -- Path Kernels and Multiplicative Updates -- Predictive Complexity and Information -- Mixability and the Existence of Weak Complexities -- A Second-Order Perceptron Algorithm -- Tracking Linear-Threshold Concepts with Winnow -- Inductive Inference -- Learning Tree Languages from Text -- Polynomial Time Inductive Inference of Ordered Tree Patterns with Internal Structured Variables from Positive Data -- Inferring Deterministic Linear Languages -- Merging Uniform Inductive Learners -- The Speed Prior: A New Simplicity Measure Yielding Near-Optimal Computable Predictions -- PAC Learning -- New Lower Bounds for Statistical Query Learning -- Exploring Learnability between Exact and PAC -- PAC Bounds for Multi-armed Bandit and Markov Decision Processes -- Bounds for the Minimum Disagreement Problem with Applications to Learning Theory -- On the Proper Learning of Axis Parallel Concepts -- Boosting -- A Consistent Strategy for Boosting Algorithms -- The Consistency of Greedy Algorithms for Classification -- Maximizing the Margin with Boosting -- Other Learning Paradigms -- Performance Guarantees for Hierarchical Clustering -- Self-Optimizing and Pareto-Optimal Policies in General Environments Based on Bayes-Mixtures -- Prediction and Dimension -- Invited Talk -- Learning the Internet
|
| 653 |
|
|
|a Computer science
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Algorithms
|
| 653 |
|
|
|a Formal Languages and Automata Theory
|
| 653 |
|
|
|a Machine theory
|
| 653 |
|
|
|a Artificial intelligence
|
| 653 |
|
|
|a Theory of Computation
|
| 700 |
1 |
|
|a Sloan, Robert H.
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b SBA
|a Springer Book Archives -2004
|
| 490 |
0 |
|
|a Lecture Notes in Artificial Intelligence
|
| 028 |
5 |
0 |
|a 10.1007/3-540-45435-7
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/3-540-45435-7?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 006.3
|