We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
Dmitri Roussinov, Weiguo Fan, Fernando A. Das Neve...
In many market settings, agents do not know their preferences a priori. Instead, they may have to solve computationally complex optimization problems, query databases, or perform ...
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
Force-feedback mechanisms have been designed to simplify and enhance the human-vehicle interface. The increase in secondary controls within vehicle cockpits has created a desire f...
J. Melli-Huber, Brian Weinberg, Avi Fisch, Jason N...
Recently, a number of frameworks were proposed to extend interface theory to the domains of single-processor and distributed real-time systems. This paper unifies some of these ap...
Lothar Thiele, Ernesto Wandeler, Nikolay Stoimenov