Classifier calibration is the process of converting classifier scores into reliable probability estimates. Recently, a calibration technique based on isotonic regression has gain...
Recent efforts aimed at improving the scalability of the JavaTM platform have focused primarily on the safe collocation of multiple applications in the virtual machine. This is of...
Abstract--Formal methods are very useful in software industry and are becoming of paramount importance in practical engineering techniques. They involve the design and the modeling...
The development of natural language processing (NLP) systems that perform machine translation (MT) and information retrieval (IR) has highlighted the need for the automatic recogn...
Three extensions to the Kernel-AdaTron training algorithm for Support Vector Machine classifier learning are presented. These extensions allow the trained classifier to adhere more...