Abstract. High-value rare-event searching is arguably the most natural application of grid computing, where computational tasks are distributed to a large collection of clients (wh...
We address the freerider problem on P2P networks. We first propose a specific participation metric, which we call a peer’s EigenTrust score. We show that EigenTrust scores accu...
Sepandar D. Kamvar, Mario T. Schlosser, Hector Gar...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
-- Most optimization algorithms that use probabilistic models focus on extracting the information from good solutions found in the population. A selection method discards the below...