: A growing number of universities and companies are now becoming focused on promoting learning that is not merely instrumental. These aspirations refer to deep learning, transform...
The development of software is not an easy task and the availability of adequate tool support is an important step towards reducing the effort that a developer must put into the So...
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...