In this paper, we derive and evaluate theoretical ratedistortion performance bounds for scalable video compression algorithms which use a single motion-compensated prediction (MCP...
Gregory W. Cook, Josep Prades-Nebot, Edward J. Del...
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
This study aims at providing an empirical basis for the evaluation of predictions made by metrical phonology. The predictions are compared to perceptual syllable prominence annota...
In this paper we present a prediction process of the Stock Exchange of Thailand index using adaptive evolution strategies. The prediction process does not require the knowledge of...
A model for the problem of predicting the outputs of a process, based only on knowledge of previous outputs, is proposed in terms of a decision problem. The strength of this parti...