Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
FShell is an automated white-box test-input generator for C programs, computing test data with respect to user-speciļ¬ed code coverage criteria. The pillars of FShell are the decl...
Andreas Holzer, Daniel Kroening, Christian Schallh...
Abstract. This paper presents a knowledge-based approach to eLearning, where the domain ontology plays central role as a resource structuring the learning content and supporting ļ¬...
Galia Angelova, Ognian Kalaydjiev, Albena Strupcha...
Human-nameable visual āattributesā can beneļ¬t various recognition tasks. However, existing techniques restrict these properties to categorical labels (for example, a person ...