When assessing reported classification results based on selection of members from a database (e.g. a face database), one would like to know what is an achievable classification ra...
Automatic tools for analyzing student online discussions are highly desirable for better assistance and scaffolding. This paper presents an approach for automatically identifying s...
While methods for comparing two learning algorithms on a single data set have been scrutinized for quite some time already, the issue of statistical tests for comparisons of more ...
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...