We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
This paper describes how use the HTMLEditorKit to perform web data mining on stock statistics for listed firms. Our focus is on making use of the web to get information about comp...
Forward symbolic execution is a program analysis technique that allows using symbolic inputs to explore program executions. The traditional applications of this technique have foc...
Although a feature model can represent commonalities and variabilities in a very concise taxonomic form, features in a feature model are merely symbols. Mapping features to other m...