Exploració per autor "Esposito, Gennaro"
Ara es mostren els items 1-4 de 4
-
A randomized algorithm for the exact solution of transductive support vector machines
Esposito, Gennaro; Martín Muñoz, Mario (2015-05-13)
Article
Accés obertRandom sampling is an efficient method for dealing with constrained optimization problems. In computational geometry, this method has been successfully applied, through Clarkson’s algorithm (Clarkson 1996), to solve a ... -
Approximate policy iteration using regularized Bellman residuals minimization
Esposito, Gennaro; Martín Muñoz, Mario (Taylor & Francis, 2016)
Article
Accés obertReinforcement Learning (RL) provides a general methodology to solve complex uncertain decision problems, which are very challenging in many real-world applications. RL problem is modeled as a Markov Decision Process (MDP) ... -
Intersegmental synchronization of spontaneous cord dorsum potentials as a clinical parameter to evaluate changes in neuronal connectivity produced by peripheral nerve and spinal cord damage
Martín Muñoz, Mario; Chávez, Diógenes; Béjar Alonso, Javier; Esposito, Gennaro; Rodríguez, Érika; Cortés García, Claudio Ulises; Rudomín, Pablo (Springer, 2012)
Text en actes de congrés
Accés restringit per política de l'editorialWe describe here automatic selection method to retrieve spontaneous cord dorsum potentials from the spiral cord in the anesthetized cat. Previous studies have indicated that some of these potentials appear synchronized in ... -
Regularized approximate policy iteration using kernel for on-line reinforcement learning
Esposito, Gennaro (Universitat Politècnica de Catalunya, 2015-06-17)
Tesi
Accés obertBy using Reinforcement Learning (RL), an autonomous agent interacting with the environment can learn how to take adequate actions for every situation in order to optimally achieve its own goal. RL provides a general ...