We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
This workdemonstrates newtechniques developed for the prediction of protein folding class in the context of the most comprehensiveStructural Classification of Proteins (SCOP). The...
The appeal of persistent class-oriented programming languages is great. Allowing class definitions to be persistent, in addition to instance data, greatly increases the ease of ac...
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...