— This work is motivated by the interest in finding significant movements in financial stock prices. The detection of such movements is important because these could represent...
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
This paper describes the development and use of practical examinations which include a significant element of software control of the administrative process. The educational metho...
In the past decade or so, subspace methods have been largely used in face recognition ? generally with quite success. Subspace approaches, however, generally assume the training d...
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...