This paper presents an algorithmic technique based on hybridizing Symbolic Manipulation Techniques based on BDDs with more traditional Explicit solving algorithms. To validate the...
Silvia Chiusano, Fulvio Corno, Paolo Prinetto, Mat...
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...
We address the problem of bandwidth selection in MLS surfaces. While the problem has received relatively little attention in the literature, we show that appropriate selection pla...
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...