Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
Abstract. Using a probabilistic polynomial-time process calculus designed for specifying security properties as observational equivalences, we develop a form of bisimulation that j...
Ajith Ramanathan, John C. Mitchell, Andre Scedrov,...
Adaptive Ridge is a special form of Ridge regression, balancing the quadratic penalization on each parameter of the model. It was shown to be equivalent to Lasso (least absolute s...
The problem of estimating motion and structure from a sequence of images has been a major research theme in machine vision for many years and remains one of the most challenging o...
Mustafa Unel, Asif Sabanovic, Burak Yilmaz, Eray D...
A computational model of the peripheral auditory system is used to explain the paradoxical observation that discriminating between broadband noise sounds with and without high-fre...
Enrique A. Lopez-Poveda, Ana Alves-Pinto, Alan R. ...