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NCI
2004
185views Neural Networks» more  NCI 2004»
13 years 9 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
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 ...
Bram Bakker, Jürgen Schmidhuber
DMS
2010
189views Multimedia» more  DMS 2010»
13 years 5 months ago
Visualizing the Commonalities Between Hierarchically Structured Data Queries
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...
Chad Jones, Ryan Armstrong, Kwan-Liu Ma
ICPPW
2008
IEEE
14 years 2 months ago
Performance Analysis and Optimization of Parallel Scientific Applications on CMP Cluster Systems
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...
CVPR
2006
IEEE
14 years 9 months ago
Spectral Methods for Automatic Multiscale Data Clustering
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...
Arik Azran, Zoubin Ghahramani
INFOCOM
2003
IEEE
14 years 29 days ago
Spectral Analysis of Internet Topologies
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...