Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
Elzbieta Pekalska, Marina Skurichina, Robert P. W....
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
Many academic journals ask their authors to provide a list of about five to fifteen keywords, to appear on the first page of each article. Since these key words are often phrases ...
This paper details updated results concerning an implementation of a Multiple Classification Ripple Down Rules (MCRDR) system which can be used to provide quality Decision Support ...
Ivan Bindoff, Byeong Ho Kang, Tristan Ling, Peter ...
One of the main problems in developing a text-to-speech (TTS) synthesizer for French lies in grapheme-to-phoneme conversion. Automatic converters produce still too many errors in ...