This paper explores the idea that future game consoles and computers may no longer be single processor units, but instead symmetrical multiprocessor units. If this were to occur g...
In the reuse domain, the necessity of finding a new, more suitable description language opposes the need to make reuse an accepted practice, and thus related to standards. This pa...
Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...