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. This paper presents an approach to increase the robustness of Active Appearance Models (AAMs) within the scope of humanrobotinteraction. Due to unknown environments with ...
Ronny Stricker, Christian Martin, Horst-Michael Gr...
In this paper we present a new approach to derive heavy-traffic asymptotics for polling models. We consider the classical cyclic polling model with exhaustive or gated service at ...
This paper proposes a stochastic fluid flow model to compute the transfer time distribution of resources in peer-to-peer file sharing applications. The amount of bytes transferred...
Rossano Gaeta, Marco Gribaudo, Daniele Manini, Mat...
Exploration/Exploitation equilibrium is one of the most challenging issues in reinforcement learning area as well as learning classifier systems such as XCS. In this paper1 , an i...