Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
As more and more software projects engage Agile Methods, there are emerging patterns of success and failure. With growing adoption of Agile Methods, project managers increasingly ...
We present XML schemas and our design for related data services for describing faults and surface displacements, which we use within earthquake modeling codes. These data services ...
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Abstract. Interval-based methods can approximate all the real solutions of a system of equations and inequalities. The Box interval constraint propagation algorithm enforces Box co...