Machine Learning by Tom Mitchell, McGraw Hill, 1997
Data Mining: Practical Machine Learning Tools and Techniques Ian H. Witten, Eibe Frank, Mark A. Hall (Weka book)
MANY YEARS AGO ...
(how do I use WEKA's classes in my own code)
(multi-instance classification in weka) and (data sets)
Time series in Weka (two filters in weka) (TClass) (from wpi)
Artificial neural network plugins etc.
Home page of the R-project
R-project at CUNI
Ensemble methods. Bagging. Boosting.
Regression trees (C&RT)
Learning from streams (ICDM 2006 Tutorial)
Learning from multi-instance data
Preference learning (->)
Meta-learning (intro) Experiment evluation, meta-learning. Minimal description length. Monte Carlo
Mining in strutured data