This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Abstract--In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multipl...
Chip multiprocessors (CMP) are widely used for high performance computing. Further, these CMPs are being configured in a hierarchical manner to compose a node in a cluster system....
Xingfu Wu, Valerie E. Taylor, Charles W. Lively, S...
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Abstract— We perform spectral analysis of the Internet topology at the AS level, by adapting the standard spectral filtering method of examining the eigenvectors corresponding t...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...