Literature

Signature	Author(s)	year	Title
Wogulis/Pazzani/93a	James Wogulis and Michael J. Pazzani	1993	A Methodology for Evaluating Theory Revision Systems: Results with Audrey II
Joachims/99a	Joachims, Thorsten	1999	Making large-Scale SVM Learning Practical
Joachims/98a	Joachims, Thorsten	1998	Text Categorization with Support Vector Machines: Learning with Many Relevant Features
Quinlan/93b	John Ross Quinlan	1993	C4.5: Programs for Machine Learning
Bennett/99a	K. Bennett	1999	Combining Support Vector and Mathematical Programming Methods for Classification
Karalic/95a	Karalic, A.	1995	First Order Regression
Karalic/Bratko/97a	Karalic, A. and Bratko, I.	1997	First Order Regression
Loader/Cleveland/95b	Loader, C. and Cleveland, W.	1995	Smoothing by Local Regression: Principles and Methods (with discussion)
Loader/Cleveland/95a	Loader, C. and Cleveland, W.	1995	Computational Statistics
Mahoney/Mooney/93a	Mahoney, J. J. and Mooney, R. J.	1993	Combining connectionist and symbolic learning to refine certainty-factor rule-bases
Mitchell/97b	Mitchell, Tom M.	1997	Machine Learning
Zhong/etal/97a	N. Zhong and C. Liu and S. Ohsuga	1997	A Way of Increasing both Autonomy and Versatility of a KDD System
Nadaraya/64a	Nadaraya, E. A.	1964	On estimating regression
Ohsuga/etal/2001a	Ohsuga, S. and Zhong, N. and Liu, C.	2001	Dynamically Organizing KDD Processes.
Ourston/Mooney/90a	Ourston, D. and Mooney, R. J.	1990	Changing the rules: A comprehensive approach to theory refinement
Parzen/62a	Parzen, E.	1962	On estimation of a probability density function and mode
Brazdil/98a	Pavel Brazdil	1998	Data Transformation and Model Selection by Experimentation and Meta-Learning
Press/92a	Press, W. H.	1992	Numerical Recipes in C
Quinlan/93c	Quinlan, J. Ross	1993	Combining Instance-based and Model-based Learning
Quinlan/92a	Quinlan, J. Ross	1992	Learning with Continuous Classes
Quinlan/90a	Quinlan, J.R.	1990	Learning Logical Definitions from Relations
Agrawal/Srikant/94a	R. Agrawal and R. Srikant	1994	Fast Algorithms for Mining Association Rules in Large Data Bases
Richards/Mooney/95a	Richards, B. J. and Mooney, R. J.	1995	Automated refinement of first-order Horn-clause domain theories
Shapire/99a	Robert E. Shapire	1999	Theoretical Views of Boosting and Applications
Engels/etal/97a	Robert Engels and Guido Lindner and Rudi Studer	1997	A Guided Tour through the Data Mining Jungle
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