Type(s) de contenu et mode(s) de consultation : Texte noté : électronique

Titre(s) : Machine learning [Texte électronique] : proceedings of the ninth international workshop (ML92) / edited by Derek Sleeman and Peter Edwards

Publication : San Mateo, Calif. : M. Kaufman, cop. 1992

Description matérielle : 1 ressource dématérialisée

Note(s) : Contains papers presented at the Ninth International Machine Learning Conference, held at Aberdeen, Scotland, 1-3 July 1992. - Includes bibliographical references and indexes

Autre(s) auteur(s) : Sleeman, D. Fonction indéterminée  Voir les notices liées en tant qu'auteur
Edwards, Peter. Fonction indéterminée  Voir les notices liées en tant qu'auteur
International Conference on Machine Learning (9 ; 1992 ; Aberdeen, Scotland). Fonction indéterminée  Voir les notices liées en tant qu'auteur

Sujet(s) : Intelligence artificielle  Voir les notices liées en tant que sujet
Apprentissage automatique  Voir les notices liées en tant que sujet

Genre ou forme : Actes de congrès  Voir les notices liées en tant que genre ou forme

Indice(s) Dewey :  006.31 (23e éd.) = Apprentissage automatique (informatique)  Voir les notices liées en tant que sujet

Identifiants, prix et caractéristiques : ISBN 9781558602472

Identifiant de la notice  : ark:/12148/cb44668403c

Notice n° :  FRBNF44668403 (notice reprise d'un réservoir extérieur)

Table des matières : Generalizing from Case Studies: A Case Study / David W. Aha ; On Learning More Concepts / Hussein Almuallim and Thomas G. Dietterich ; The Principal Axes Method for Constructive Induction / Jerzy W. Bala, Ryszard S. Michalski and Janusz Wnek ; Learning by Incomplete Explanations of Failures in Recursive Domains / Neeraj Bhatnagar ; Eliminating Redundancy in Explanation-Based Learning / Henrik Bostrom ; Trading Off Consistency and Efficiency in Version-Space Induction / Claudio Carpineto ; Peepholing: Choosing Attributes Efficiently for Megainduction / J. Catlett ; Improving Path Planning with Learning / Pang C. Chen ; The Right Representation for Discovery: Finding the Conservation of Momentum / Peter C-H. Cheng and Herbert A. Simon ; Learning to Predict in Uncertain Continuous Tasks / Alan D. Christiansen ; Lazy Partial Evaluation: An Integration of Explanation-Based Generalisation and Partial Evaluation / Peter Clark and Rob Holte.
A Teaching Method for Reinforcement Learning / Jeffery A. Clouse and Paul E. Utgoff ; Compiling Prior Knowledge into an Explicit Bias / William W. Cohen ; Spatial Analogy and Subsumption / Darrell Conklin and Janice Glasgow ; Learning to Satisfy Conjunctive Coals / Timothy M. Converse and Kristian J. Hammond ; Multistrategy Learning with Introspective Meta-Explanations / Michael T. Cox and Ashwin Ram ; An Asymptotic Analysis of Speedup Learning / Oren Etzioni ; Why EBL Produces Overly-Specific Knowledge: A Critique of the PRODIGY Approaches / Oren Etzioni and Steven Minton ; Automatic Feature Generation for Problem Solving Systems / Tom E. Fawcett and Paul E. Utgoff ; Towards Inductive Generalisation in Higher Order Logic / Cao Feng and Stephen Muggleton ; Ordering Effects in Clustering / Douglas Fisher, Ling Xu and Nazih Zard ; Learning Structured Concepts Using Genetic Algorithms / Attilio Giordana and Claudio Sale.
An Analysis of Learning to Plan as a Search Problem / Jonathan Gratch and Gerald DeJong ; An Approach to Anytime Learning / John J. Grefenstette and Connie Loggia Ramsey ; Artificial Universes ; Towards a Systematic Approach to Evaluating Algorithms which Learn from Examples / Ray J. Hickey ; Average Case Analysis of Learning k-CNF Concepts / Daniel S. Hirschberg and Michael J. Pazzani ; The MENTLE Approach to Learning Heuristics for the Control of Logic Programs / Elizabeth I. Hogger and Krysia Broda ; Fuzzy Substructure Discovery / Lawrence B. Holder, Diane J. Cook and Horst Bunke ; Efficient Classification of Massive, Unsegmented Datastreams / Lawrence Hunter, Nomi Harris and David J. States ; Induction of One-Level Decision Trees / Wayne Iba and Pat Langley ; Combining Competition and Cooperation in Supervised Inductive Learning / Cezary Z. Janikow ; A Practical Approach to Feature Selection / Kenji Kira and Larry A. Rendell.
Learning as Optimization: Stochastic Generation of Multiple Knowledge / Igor Kononenko and Matevz Kovacic ; Dynamic Optimization / Philip Laird ; Sub-unification: A Tool for Efficient Induction of Recursive Programs / Stephane Lapointe and Stan Matwin ; Augmenting and Efficiently Utilizing Domain Theory in Explanation-Based Natural Language Acquisition / Rey-Long Liu and Von-Wun Soo ; Enhancing Transfer in Reinforcement Learning by Building Stochastic Models of Robot Actions / Sridhar Mahadevan ; THOUGHT: An Integrated Learning System for Acquiring Knowledge Structure / Chengjiang Mao ; An Approach to Concept Learning Based on Term Generalization / Zdravko Markov ; Using Transitional Proximity for Faster Reinforcement Learning / R. Andrew McCallum ; NFDT: A System that Learns Flexible Concepts Based on Decision Trees for Numerical Attributes / Thierry Van de Merckt ; A Symbolic Algorithm for Computing Coefficients' Accuracy in Regression / Marjorie Moulet.
Compression, Significance, and Accuracy / Stephen Muggleton, Ashwin Srinivasan and Michael Bain ; Guiding Example Acquisition by Generating Scenarios / Yves Niquil ; Constructive Induction Using a Non-Greedy Strategy for Feature Selection / Arlindo L. Oliveira and Alberto Sangiovanni-Vincentelli ; Training Second-Order Recurrent Neural Networks using Hints / Christian W. Omlin and C. Lee Giles ; DYNAMIC: A New Role for Training Problems in EBL / M. Alicia Perez and Oren Etzioni ; A Framework for Discovering Discrete Event Models / Ashvin Radiya and Jan M. Zytkow ; Learning Episodes for Optimization / David Ruby and Dennis Kibler ; Learning to Fly / Claude Sammut, Scott Hurst, Dana Kedzier and Donald Michie ; Deconstructing the Digit Recognition Problem / Cullen Schaffer ; On Combining Multiple Speedup Techniques / Alberto Maria Segre ; Scaling Reinforcement Learning Algorithms by Learning Variable Temporal Resolution Models / Satinder P. Singh.
Detecting Novel Classes with Applications to Fault Diagnosis / Padhraic Smyth and Jeff Mellstrom ; Measuring Utility and the Design of Provably Good EBL Algorithms / Devika Subramanian and Scott Hunter ; Refining a Relational Theory with Multiple Faults in the Concept and Subconcepts / Somkiat Tangkitvanich and Masamichi Shimura ; Cooperation in Knowledge Base Refinement / Gheorghe D. Tecuci ; Temporal Difference Learning of Backgammon Strategy / Gerald Tesauro ; AGIL: Solving the Exploration Versus Exploitation Dilemma in a Simple Classifier System Applied to Simulated Robotics / Gilles Venturini ; Conceptual Clustering with Systematic Missing Values / Jerry B. Weinberg, Gautam Biswas and Glenn R. Koller ; Selecting Typical Instances in Instance-Based Learning / Jianping Zhang ; The First Phase of Real-World Discovery: Determining Repeatability and Error of Experiments / Jan M. Zytkow, Jieming Zhu and Robert Zembowicz.