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Industrial Applications of ML: Illustrations for the KAML Dilemma and the CBR Dream | 3 | |
Knowledge Representation in Machine Learning | 20 | |
Inverting Implication with Small Training Sets | 31 | |
A Context Similarity Measure | 49 | |
Incremental Learning of Control Knowledge for Nonlinear Problem Solving | 64 | |
Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning | 83 | |
Inductive Learning of Characteristic Concept Descriptions from Small Sets of Classified Examples | 103 | |
FOSSIL : A Robust Relational Learner | 122 | |
A Multistrategy Learning System and Its Integration into an Interactive Floorplanning Tool | 138 | |
Bottom-Up Induction of Oblivious Read-Once Decision Graphs | 154 | |
Estimating Attributes: Analysis and Extensions of RELIEF | 171 | |
BMWk Revisited: Generalisation and Formalization of an Algorithm for Detecting Recursive Relations in Term Sequences | 183 | |
An Analytic and Empirical Comparison of Two Methods for Discovering Probabilistic Causal Relationships | 198 | |
Sample PAC-Learnability in Model Inference | 217 | |
Averaging Over Decision Stumps | 231 | |
Controlling Constructive Induction in CIPF: An MDL Approach | 242 | |
Using Constraints to Building Version Spaces | 257 | |
On the Utility of Predicate Invention in Inductive Logic Programming | 272 | |
Learning Problem-Solving Concepts by Reflecting on Problem Solving | 287 | |
Existence and Nonexistence of Complete Refinement Operators | 307 | |
A Hybrid Nearest-Neighbor and Nearest-Hyperrectangle Algorithm | 323 | |
Automated Knowledge Acquisition for PROSPECTOR-like Expert Systems | 339 | |
On the Role of Machine Learning in Knowledge-Based Control | 343 | |
Discovering Dynamics with Genetic Programming | 347 | |
A Geometric Approach to Feature Selection | 351 | |
Identifying Unrecognizable Regular Languages by Queries | 355 | |
Intensional Learning of Logic Programs | 359 | |
Partially Isomorphic Generalization and Analogical Reasoning | 363 | |
Learning from Recursive, Tree Structured Examples | 367 | |
Concept Formation in Complex Domains | 371 | |
An Algorithm for Learning Hierarchical Classifiers | 375 | |
Learning Belief Network Structure from Data Under Causal Insufficiency | 379 | |
Cost-Sensitive Pruning of Decision Trees | 383 | |
An Instance-Based Learning Method for Databases: An Information Theoretic Approach | 387 | |
Early Screening for Gastric Cancer Using Machine Learning Techniques | 391 | |
DP1: Supervised and Unsupervised Clustering | 395 | |
Using Machine Learning Techniques to Interpret Results from Discrete Event Simulation | 399 | |
Flexible Integration of Multiple Learning Methods into a Problem Solving Architecture | 403 | |
Concept Sublattices | 407 | |
The Piecewise Linear Classifier DIPOL92 | 411 | |
Complexity of Computing Generalized VC-Dimensions | 415 | |
Learning Relations Without Closing the World | 419 | |
Properties of Inductive Logic Programming in Function-Free Horn Logic | 423 | |
Representing Biases for Inductive Logic Programming | 427 | |
Biases and Their Effects in Inductive Logic Programming | 431 | |
Inductive Learning of Normal Clauses | 435 | |
Author Index | 439 |
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This item is in your CollectionMachine Learning: ECML-94 European Conference on Machine Learning, Catania, Italy, April 6-8, 1994 Proceedings
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Machine Learning: ECML-94 European Conference on Machine Learning, Catania, Italy, April 6-8, 1994 Proceedings, 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. |