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» Proving Time Bounds for Randomized Distributed Algorithms
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ALT
1999
Springer
15 years 2 months ago
PAC Learning with Nasty Noise
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
ALGORITHMICA
2004
111views more  ALGORITHMICA 2004»
14 years 9 months ago
Non-Clairvoyant Scheduling for Minimizing Mean Slowdown
We consider the problem of scheduling dynamically arriving jobs in a non-clairvoyant setting, that is, when the size of a job in remains unknown until the job finishes execution. ...
Nikhil Bansal, Kedar Dhamdhere, Jochen Könema...
ICNP
2009
IEEE
14 years 7 months ago
RASPberry: A Stable Reader Activation Scheduling Protocol in Multi-Reader RFID Systems
Abstract--Recent technological advances have motivated largescale deployment of RFID systems. RFID readers are often static and carefully deployed in a planned manner. However, the...
ShaoJie Tang, Jing Yuan, Xiang-Yang Li, Guihai Che...
SIROCCO
2007
14 years 11 months ago
Fast Periodic Graph Exploration with Constant Memory
We consider the problem of periodic exploration of all nodes in undirected graphs by using a nite state automaton called later a robot. The robot, using a constant number of state...
Leszek Gasieniec, Ralf Klasing, Russell A. Martin,...
SODA
2003
ACM
133views Algorithms» more  SODA 2003»
14 years 11 months ago
Integrality ratio for group Steiner trees and directed steiner trees
The natural relaxation for the Group Steiner Tree problem, as well as for its generalization, the Directed Steiner Tree problem, is a flow-based linear programming relaxation. We...
Eran Halperin, Guy Kortsarz, Robert Krauthgamer, A...