Algorithmic Learning Theory : 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings / edited by Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita.

Format:

Book

Contributor:

Jaina, Sañjaya, editor.

Simon, Hans-Ulrich, editor.

Tomita, Etsuji, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 3734.

Lecture Notes in Artificial Intelligence ; 3734

Language:

English

Subjects (All):

Artificial intelligence.

Computers.

Algorithms.

Logic, Symbolic and mathematical.

Natural language processing (Computer science).

Artificial Intelligence.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Mathematical Logic and Formal Languages.

Natural Language Processing (NLP).

Local Subjects:

Artificial Intelligence.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Mathematical Logic and Formal Languages.

Natural Language Processing (NLP).

Physical Description:

1 online resource (XII, 491 pages).

Edition:

First edition 2005.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.

System Details:

text file PDF

Contents:

Editors' Introduction

Editors' Introduction

Invited Papers

Invention and Artificial Intelligence

The Arrowsmith Project: 2005 Status Report

The Robot Scientist Project

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources

Training Support Vector Machines via SMO-Type Decomposition Methods

Kernel-Based Learning

Measuring Statistical Dependence with Hilbert-Schmidt Norms

An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron

Learning Causal Structures Based on Markov Equivalence Class

Stochastic Complexity for Mixture of Exponential Families in Variational Bayes

ACME: An Associative Classifier Based on Maximum Entropy Principle

Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors

On Computability of Pattern Recognition Problems

PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance

Learnability of Probabilistic Automata via Oracles

Learning Attribute-Efficiently with Corrupt Oracles

Learning DNF by Statistical and Proper Distance Queries Under the Uniform Distribution

Learning of Elementary Formal Systems with Two Clauses Using Queries

Gold-Style and Query Learning Under Various Constraints on the Target Class

Non U-Shaped Vacillatory and Team Learning

Learning Multiple Languages in Groups

Inferring Unions of the Pattern Languages by the Most Fitting Covers

Identification in the Limit of Substitutable Context-Free Languages

Algorithms for Learning Regular Expressions

A Class of Prolog Programs with Non-linear Outputs Inferable from Positive Data

Absolute Versus Probabilistic Classification in a Logical Setting

Online Allocation with Risk Information

Defensive Universal Learning with Experts

On Following the Perturbed Leader in the Bandit Setting

Mixture of Vector Experts

On-line Learning with Delayed Label Feedback

Monotone Conditional Complexity Bounds on Future Prediction Errors

Non-asymptotic Calibration and Resolution

Defensive Prediction with Expert Advice

Defensive Forecasting for Linear Protocols

Teaching Learners with Restricted Mind Changes.

Other Format:

Printed edition:

ISBN:

978-3-540-31696-1

9783540316961

Access Restriction:

Restricted for use by site license.