Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
— The paper is concerned with a novel adaptive game server protocol optimization to combat network latencies in the case of heterogeneous network environment. In this way, game p...
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
Software inspection is an e ective method of defect detection. Recent research activity has considered the development of tool support to further increase the e ciency and e ectiv...
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...