The direct mode used in the bi-predictive pictures (B-pictures) can efficiently improve the coding performance of B pictures, because it has small overhead and obtains a predictiv...
Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
We propose an approach to remote display systems in which the client predicts the screen update events that the server will send and applies them to the screen immediately, thus e...