Because of software’s increasing dynamism and the heterogeneity of execution environments, the results of in-house testing and maintenance are often not representative of the wa...
Failure of a design to satisfy a system's requirements can result in schedule and cost overruns. When using current approaches, ensuring requirements are satisfied is often d...
Abstract. Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated ...
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...