The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Chemical information processing posseses a variety of valuable properties, such as, robustness, concurrency, faulttolerance, and evolvability. However, it is difficult to predict...
: In multiple research literatures, successful collaborative problem solving and learning is analyzed in terms of success of information sharing. In this paper we report analyses o...
Daniel D. Suthers, Ravikiran Vatrapu, Richard Medi...
Linguists have long been producing grammatical decriptions of yet undescribed languages. This is a time-consuming process, which has already adapted to improved technology for rec...
Abstract Data mining algorithms have been recently applied to software repositories to help on the maintenance of evolving software systems. In the past, information about what cla...
Lile Hattori, Gilson Pereira dos Santos Jr., Ferna...