Machine Learning: ECML-94 Book

	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