Literature

Signature	Author(s)	year	Title
Aha/97a		1997	Lazy Learning
Joachims/98a	Joachims, Thorsten	1998	Text Categorization with Support Vector Machines: Learning with Many Relevant Features
Burges/98a	C. Burges	1998	A Tutorial on Support Vector Machines for Pattern Recognition
Vapnik/98a	V. Vapnik	1998	Statistical Learning Theory
Brazdil/98a	Pavel Brazdil	1998	Data Transformation and Model Selection by Experimentation and Meta-Learning
Carbonara/Sleeman/99a	Carbonara, L. and Sleeman, Derek H.	1999	Effective and Efficient Knowledge Base Refinement
Joachims/99a	Joachims, Thorsten	1999	Making large-Scale SVM Learning Practical
Mueller/etal/99a		1999	Neural Information Processing Systems
Zhang/99a	Wei Zhang	1999	A Region-Based Approach to Discovering Temporal Structures in Data
Shapire/99a	Robert E. Shapire	1999	Theoretical Views of Boosting and Applications
Joachims/99c	Thorsten Joachims	1999	Transductive Inference for Text Classification using Support Vector Machines
ICML/99a		1999	International Conference on Machine Learning
Bennett/99a	K. Bennett	1999	Combining Support Vector and Mathematical Programming Methods for Classification
Schoelkopf/etal/2000a	Sch\"olkopf, Bernhard and Smola, Alex J. and Williamson, Robert C. and Bartlett, Peter L.	2000	New Support Vector Algorithms
Wrobel/etal/2000a	Wrobel, S. and Morik, K. and Joachims, T.	2000	Maschinelles Lernen und Data Mining
Goerz/etal/2000a	Görz, G. and Schneeberger, J. and Rollinger, C.	2000	Handbuch der künstlichen Intelligenz
Ohsuga/etal/2001a	Ohsuga, S. and Zhong, N. and Liu, C.	2001	Dynamically Organizing KDD Processes.
Bernstein/etal/2002a	Abraham Bernstein and Shawndra Hill and Foster Provost	2002	An Intelligent Assistant for the Knowledge Discovery Process