This paper presents a method for obtaining class membership probability estimates for multiclass classification problems by coupling the probability estimates produced by binary c...
: Neural networks are competitive tools for classification problems. In this context, a hint is any piece of prior side information about the classification. Common examples are mo...
The success of a software project is largely dependent upon the quality of the Software Requirements Specification (SRS) document, which serves as a medium to communicate user req...
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...
While decision trees have been used primarily for classification, they can also model regression or function approximation. Like classification trees, regression trees often yield...