Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
This paper presents a SVM-based prediction approach for constructing personal recommendation system for TV programs. We have applied Support Vector Machine (SVM) to personal predi...
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
In this paper, we proposed an improved “bottom-up” variable-size block matching method. Different from previous work, the proposed method does not need any threshold during th...
End-users of high-performance computing resources have come to expect that consistent levels of performance be delivered to their applications. The advancement of the Computationa...