Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative dec...
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
Regression test prioritization techniques re-order the execution of a test suite in an attempt to ensure that defects are revealed earlier in the test execution phase. In prior wo...
Matthew J. Rummel, Gregory M. Kapfhammer, Andrew T...
Abstract—Product-line architectures (PLAs) designed for mobile devices create a unique challenge for automated product variant selection engines since variants must be derived on...
Jules White, Douglas C. Schmidt, Egon Wuchner, And...
This paper describes techniques used in a Web-based decision support system to enhance dermatological diagnosis for rural and remote communities. We proposed a technique to improv...
Monica H. Ou, Geoff A. W. West, Mihai Lazarescu, C...