This paper reports on the design of a collaborative system to support citizens' advisory services. Recent research on the adoption of collaborative technologies indicates that...
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
We perform a systematic evaluation of feature selection (FS) methods for support vector machines (SVMs) using simulated high-dimensional data (up to 5000 dimensions). Several findi...
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Abstract. Ariola and Felleisen's call-by-need -calculus replaces a variable occurrence with its value at the last possible moment. To support this gradual notion of substituti...