Abstract. We consider an upper confidence bound algorithm for Markov decision processes (MDPs) with deterministic transitions. For this algorithm we derive upper bounds on the onl...
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
Automated acceptance testing is a new and promising agile testing approach. Fit is the most established technical framework for specifying and executing acceptance tests which, id...
Considering that security education needs to train students to deal with security problems in real environments, we developed new media for teaching applied cryptography and networ...
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...