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STOC
2005
ACM
130views Algorithms» more  STOC 2005»
16 years 6 months ago
Low-distortion embeddings of general metrics into the line
A low-distortion embedding between two metric spaces is a mapping which preserves the distances between each pair of points, up to a small factor called distortion. Low-distortion...
Mihai Badoiu, Julia Chuzhoy, Piotr Indyk, Anastasi...
INFOCOM
2002
IEEE
15 years 11 months ago
Restoration Algorithms for Virtual Private Networks in the Hose Model
—A Virtual Private Network (VPN) aims to emulate the services provided by a private network over the shared Internet. The endpoints of e connected using abstractions such as Virt...
Giuseppe F. Italiano, Rajeev Rastogi, Bülent ...
NLP
2000
15 years 9 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman
INFOCOM
2010
IEEE
15 years 4 months ago
Deploying Mesh Nodes under Non-Uniform Propagation
Abstract—Wireless mesh networks are popular as a costeffective means to provide broadband connectivity to large user populations. A mesh network placement provides coverage, such...
Joshua Robinson, Mohit Singh, Ram Swaminathan, Edw...

Book
778views
17 years 4 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...