Most probabilistic inference algorithms are specified and processed on a propositional level. In the last decade, many proposals for algorithms accepting first-order specificat...
In this paper we describe an ongoing project aimed at investigating the impact of feature interaction problems on computer telephony integration (CTI). As a representative and soph...
Nikolay A. Anisimov, Alec Miloslavski, Gregory Pog...
YANNS (Yet Another Neural Network Simulator) is a new object-oriented neural network simulator for feedforward networks as well as general recurrent networks. The goal of this pro...
Abstract—In this work, we present a constrained-based representation for specifying the goals of “course design”, that we call curricula model, and introduce a graphical lang...
Matteo Baldoni, Cristina Baroglio, Giuseppe Berio,...
Approximate MAP inference in graphical models is an important and challenging problem for many domains including computer vision, computational biology and natural language unders...