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Machine Learning: Ecml-94 : European Conference on Machine Learning, Catania, Italy, April 6-8, 1994. Proceedings - Francesco Bergadano

Machine Learning: Ecml-94

European Conference on Machine Learning, Catania, Italy, April 6-8, 1994. Proceedings

By: Francesco Bergadano (Editor), Luc de Raedt (Editor)

Paperback

Published: 22nd March 1994
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This volume contains the proceedings of the European Conference on Machine Learning 1994, which continues the tradition of earlier meetings and which is a major forum for the presentation of the latest and most significant results in machine learning.
Machine learning is one of the most important subfields of artificial intelligence and computer science, as it is concerned with the automation of learning processes.
This volume contains two invited papers, 19 regular papers, and 25 short papers carefully reviewed and selected from in total 88 submissions.
The papers describe techniques, algorithms, implementations, and experiments in the area of machine learning.

Industrial Applications of ML: Illustrations for the KAML Dilemma and the CBR Dreamp. 3
Knowledge Representation in Machine Learningp. 20
Inverting Implication with Small Training Setsp. 31
A Context Similarity Measurep. 49
Incremental Learning of Control Knowledge for Nonlinear Problem Solvingp. 64
Characterizing the Applicability of Classification Algorithms Using Meta-Level Learningp. 83
Inductive Learning of Characteristic Concept Descriptions from Small Sets of Classified Examplesp. 103
FOSSIL : A Robust Relational Learnerp. 122
A Multistrategy Learning System and Its Integration into an Interactive Floorplanning Toolp. 138
Bottom-Up Induction of Oblivious Read-Once Decision Graphsp. 154
Estimating Attributes: Analysis and Extensions of RELIEFp. 171
BMWk Revisited: Generalisation and Formalization of an Algorithm for Detecting Recursive Relations in Term Sequencesp. 183
An Analytic and Empirical Comparison of Two Methods for Discovering Probabilistic Causal Relationshipsp. 198
Sample PAC-Learnability in Model Inferencep. 217
Averaging Over Decision Stumpsp. 231
Controlling Constructive Induction in CIPF: An MDL Approachp. 242
Using Constraints to Building Version Spacesp. 257
On the Utility of Predicate Invention in Inductive Logic Programmingp. 272
Learning Problem-Solving Concepts by Reflecting on Problem Solvingp. 287
Existence and Nonexistence of Complete Refinement Operatorsp. 307
A Hybrid Nearest-Neighbor and Nearest-Hyperrectangle Algorithmp. 323
Automated Knowledge Acquisition for PROSPECTOR-like Expert Systemsp. 339
On the Role of Machine Learning in Knowledge-Based Controlp. 343
Discovering Dynamics with Genetic Programmingp. 347
A Geometric Approach to Feature Selectionp. 351
Identifying Unrecognizable Regular Languages by Queriesp. 355
Intensional Learning of Logic Programsp. 359
Partially Isomorphic Generalization and Analogical Reasoningp. 363
Learning from Recursive, Tree Structured Examplesp. 367
Concept Formation in Complex Domainsp. 371
An Algorithm for Learning Hierarchical Classifiersp. 375
Learning Belief Network Structure from Data Under Causal Insufficiencyp. 379
Cost-Sensitive Pruning of Decision Treesp. 383
An Instance-Based Learning Method for Databases: An Information Theoretic Approachp. 387
Early Screening for Gastric Cancer Using Machine Learning Techniquesp. 391
DP1: Supervised and Unsupervised Clusteringp. 395
Using Machine Learning Techniques to Interpret Results from Discrete Event Simulationp. 399
Flexible Integration of Multiple Learning Methods into a Problem Solving Architecturep. 403
Concept Sublatticesp. 407
The Piecewise Linear Classifier DIPOL92p. 411
Complexity of Computing Generalized VC-Dimensionsp. 415
Learning Relations Without Closing the Worldp. 419
Properties of Inductive Logic Programming in Function-Free Horn Logicp. 423
Representing Biases for Inductive Logic Programmingp. 427
Biases and Their Effects in Inductive Logic Programmingp. 431
Inductive Learning of Normal Clausesp. 435
Author Indexp. 439
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540578680
ISBN-10: 3540578684
Series: Springer Series in Chemical Physics
Audience: General
Format: Paperback
Language: English
Number Of Pages: 447
Published: 22nd March 1994
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6  x 2.39
Weight (kg): 0.64