In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
In this paper we study how we can design an effective parallel crawler. As the size of the Web grows, it becomes imperative to parallelize a crawling process, in order to finish d...
In this paper, we provide an analytical framework to study the inter-cell and intra-cell bit-line coupling when it is superimposed with the ground bounce effect and show how those...
This paper reports on experience from teaching basic software engineering concepts by using Extreme Programming in a second year undergraduate course taken by 107 students. We des...