Abstract. We propose an algorithm for recursive estimation of structure and motion in rigid body perspective dynamic systems, based on the novel concept of continuous-differential ...
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Abstract. Autonomic computing networks manage multiple tasks over a distributed network of resources. In this paper, we view an autonomic computing system as a network of queues, w...
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...