Literature

Signature	Author(s)	year	Title
Karalic/Bratko/97a	Karalic, A. and Bratko, I.	1997	First Order Regression
Karalic/95a	Karalic, A.	1995	First Order Regression
Ras/Skowron/97a		1997	Foundations of Intelligent Systems
Hastie/Tibshirani/90a	Hastie, T. and Tibshirani, R.	1990	Generalized Additive Models
Goerz/etal/2000a	Görz, G. and Schneeberger, J. and Rollinger, C.	2000	Handbuch der künstlichen Intelligenz
Velde/89a	Van de Velde, Walter	1989	IDL: Taming the Multiplexer
Utgoff/89a	Utgoff, P. E.	1989	Incremental Induction of Decision Trees
Aha/etal/91a	Aha, David and Kibler, Dennis and Albert, Marc	1991	Instance-based learning algorithms
ICML/99a		1999	International Conference on Machine Learning
Muggleton/95a	Stephen Muggleton	1995	Inverting Entailment and Progol
Fisher/87c	Douglas H. Fisher	1987	Knowledge Acquisition Via Incremental Conceptual Clustering
Wilkins/90a	Wilkins, David C.	1990	Knowledge Base Refinement as Improving an Incorrect and Incomplete Domain Theory
Gaerdenfors/88a	G?rdenfors, Peter	1988	Knowledge in Flux --- Modeling the Dynamics of Epistemic States
Ganascia/90a	Ganascia, Jean-Gabriel	1990	L'^ame-machine
Aha/97a		1997	Lazy Learning
Quinlan/96a	J.R. Quinlan	1996	Learning First-Order Definitions of Functions
Quinlan/90a	Quinlan, J.R.	1990	Learning Logical Definitions from Relations
Quinlan/92a	Quinlan, J. Ross	1992	Learning with Continuous Classes
Fan/95a	Fan, J.	1995	Local Modelling
Mitchell/97b	Mitchell, Tom M.	1997	Machine Learning
Kodratoff/Michalski/90a		1990	Machine Learning --- An Artificial Intelligence Approach
Joachims/99a	Joachims, Thorsten	1999	Making large-Scale SVM Learning Practical
Wrobel/etal/2000a	Wrobel, S. and Morik, K. and Joachims, T.	2000	Maschinelles Lernen und Data Mining
Friedman/91a	Friedman, Jerome H.	1991	Multivariate Adaptive Regression Splines
Mueller/etal/99a		1999	Neural Information Processing Systems
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