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Uncertain Learning Agents | 3 | |
Constructing and Sharing Perceptual Distinctions | 4 | |
On Prediction by Data Compression | 14 | |
Induction of Feature Terms with INDIE | 33 | |
Exploiting Qualitative Knowledge to Enhance Skills Acquisition | 49 | |
Integrated Learning and Planning Based on Truncating Temporal Differences | 57 | |
[Theta]-subsumption for Structural Matching | 73 | |
Classification by Voting Feature Intervals | 85 | |
Constructing Intermediate Concepts by Decomposition of Real Functions | 93 | |
Conditions for Occam's Razor Applicability and Noise Elimination | 108 | |
Learning Different Types of New Attributes by Combining the Neural Network and Iterative Attribute Construction | 124 | |
Metrics on Terms and Clauses | 138 | |
Learning When Negative Examples Abound | 146 | |
A Model for Generalization Based on Confirmatory Induction | 154 | |
Learning Linear Constraints in Inductive Logic Programming | 162 | |
Finite-Element Methods with Local Triangulation Refinement for Continuous Reinforcement Learning Problems | 170 | |
Inductive Genetic Programming with Decision Tress | 183 | |
Parallel and Distributed Search for Structure in Multivariate Time Series | 191 | |
Compression-Based Pruning of Decision Lists | 199 | |
Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space | 213 | |
NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks | 221 | |
Inducing and Using Decision Rules in the GRG Knowledge Discovery System | 234 | |
Learning and Exploitation Do Not Conflict Under Minimax Optimality | 242 | |
Model Combination in the Multiple-Data-Batches Scenario | 250 | |
Search-Based Class Discretization | 266 | |
Natural Ideal Operators in Inductive Logic Programming | 274 | |
A Case Study in Loyalty and Satisfaction Research | 290 | |
Ibots Learn Genuine Team Solutions | 298 | |
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction | 312 | |
Case-Based Learning: Beyond Classification of Feature Vectors | 329 | |
Empirical Learning of Natural Language Processing Tasks | 337 | |
Human-Agent Interaction and Machine Learning | 345 | |
Learning in Dynamically Changing Domains: Theory Revision and Context Dependence Issues | 353 | |
Author Index | 361 |
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Add Machine Learning: ECML'97, This book constitutes the refereed proceedings of the Ninth European Conference on Machine Learning, ECML-97, held in Prague, Czech Republic, in April 1997. This volume presents 26 revised full papers selected from a total of 73 submissions. Also incl, Machine Learning: ECML'97 to the inventory that you are selling on WonderClubX
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Add Machine Learning: ECML'97, This book constitutes the refereed proceedings of the Ninth European Conference on Machine Learning, ECML-97, held in Prague, Czech Republic, in April 1997. This volume presents 26 revised full papers selected from a total of 73 submissions. Also incl, Machine Learning: ECML'97 to your collection on WonderClub |