This paper is concerned with the selection of a generative model for supervised classification. Classical criteria for model selection assess the fit of a model rather than its abi...
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
Models of programming and debugging suggest many causes of errors, and many classifications of error types exist. Yet, there has been no attempt to link causes of errors to these ...
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
The development of computer-based devices for music control has created a need to study how spectators understand new performance technologies and practices. As a part of a larger...