|
|
|
|
| LEADER |
03047nmm a2200397 u 4500 |
| 001 |
EB001855247 |
| 003 |
EBX01000000000000001019549 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
181201 ||| eng |
| 020 |
|
|
|a 9783540409922
|
| 100 |
1 |
|
|a Arimura, Hiroki
|e [editor]
|
| 245 |
0 |
0 |
|a Algorithmic Learning Theory
|h Elektronische Ressource
|b 11th International Conference, ALT 2000 Sydney, Australia, December 11-13, 2000 Proceedings
|c edited by Hiroki Arimura, Sanjay Jain, Arun Sharma
|
| 250 |
|
|
|a 1st ed. 2000
|
| 260 |
|
|
|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2000, 2000
|
| 300 |
|
|
|a XII, 348 p
|b online resource
|
| 505 |
0 |
|
|a INVITED LECTURES -- Extracting Information from the Web for Concept Learning and Collaborative Filtering -- The Divide-and-Conquer Manifesto -- Sequential Sampling Techniques for Algorithmic Learning Theory -- REGULAR CONTRIBUTIONS -- Towards an Algorithmic Statistics -- Minimum Message Length Grouping of Ordered Data -- Learning From Positive and Unlabeled Examples -- Learning Erasing Pattern Languages with Queries -- Learning Recursive Concepts with Anomalies -- Identification of Function Distinguishable Languages -- A Probabilistic Identification Result -- A New Framework for Discovering Knowledge from Two-Dimensional Structured Data Using Layout Formal Graph System -- Hypotheses Finding via Residue Hypotheses with the Resolution Principle -- Conceptual Classifications Guided by a Concept Hierarchy -- Learning Taxonomic Relation by Case-based Reasoning -- Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees -- Self-duality of Bounded Monotone Boolean Functions and Related Problems -- Sharper Bounds for the Hardness of Prototype and Feature Selection -- On the Hardness of Learning Acyclic Conjunctive Queries -- Dynamic Hand Gesture Recognition Based On Randomized Self-Organizing Map Algorithm -- On Approximate Learning by Multi-layered Feedforward Circuits -- The Last-Step Minimax Algorithm -- Rough Sets and Ordinal Classification -- A note on the generalization performance of kernel classifiers with margin -- On the Noise Model of Support Vector Machines Regression -- Computationally Efficient Transductive Machines
|
| 653 |
|
|
|a Programming Techniques
|
| 653 |
|
|
|a Computer science
|
| 653 |
|
|
|a Computer programming
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Algorithms
|
| 653 |
|
|
|a Formal Languages and Automata Theory
|
| 653 |
|
|
|a Machine theory
|
| 653 |
|
|
|a Artificial intelligence
|
| 653 |
|
|
|a Natural Language Processing (NLP)
|
| 653 |
|
|
|a Theory of Computation
|
| 653 |
|
|
|a Natural language processing (Computer science)
|
| 700 |
1 |
|
|a Jain, Sanjay
|e [editor]
|
| 700 |
1 |
|
|a Sharma, Arun
|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 10.1007/3-540-40992-0
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/3-540-40992-0?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 006.3
|