This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy ...
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
For over forty years, we have assumed hierarchical file system namespaces. These namespaces were a rudimentary attempt at simple organization. As users have begun to interact with...
Efficient job scheduling in grids is challenging due to the large number of distributed autonomous resources. In this paper we study various resource allocation policies in a 2-le...
Hierarchical phrase-based translation model has been proven to be a simple and powerful machine translation model. However, due to the computational complexity constraints, the ext...