Algorithmic Learning Theory 11th International Conference, ALT 2000 Sydney, Australia, December 11-13, 2000 Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Arimura, Hiroki (Editor, http://id.loc.gov/vocabulary/relators/edt), Jain, Sanjay (Editor, http://id.loc.gov/vocabulary/relators/edt), Sharma, Arun (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
• Edition: 1st ed. 2000.
• Series: Lecture Notes in Artificial Intelligence ; 1968
• Subjects: Artificial intelligence.; Computer programming.; Computers.; Algorithms.; Mathematical logic.; Natural language processing (Computer science).; Artificial Intelligence.; Programming Techniques.; Computation by Abstract Devices.; Algorithm Analysis and Problem Complexity.; Mathematical Logic and Formal Languages.; Natural Language Processing (NLP).

Table of Contents:

• 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.