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» Approximation Algorithms for k-hurdle Problems
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142
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DCG
2008
93views more  DCG 2008»
15 years 5 months ago
Robust Shape Fitting via Peeling and Grating Coresets
Let P be a set of n points in Rd . A subset S of P is called a (k, )-kernel if for every direction, the direction width of S -approximates that of P, when k "outliers" c...
Pankaj K. Agarwal, Sariel Har-Peled, Hai Yu
134
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SIAMDM
2002
124views more  SIAMDM 2002»
15 years 4 months ago
Scheduling Unrelated Machines by Randomized Rounding
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
Andreas S. Schulz, Martin Skutella
129
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CORR
2010
Springer
164views Education» more  CORR 2010»
15 years 3 months ago
Approximate Nash Equilibria under Stability Conditions
Finding approximate Nash equilibria in n × n bimatrix games is currently one of the main open problems in algorithmic game theory. Motivated in part by the lack of progress on wo...
Maria-Florina Balcan, Mark Braverman
240
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VLDB
2005
ACM
109views Database» more  VLDB 2005»
16 years 5 months ago
Model-based approximate querying in sensor networks
Abstract Declarative queries are proving to be an attractive paradigm for interacting with networks of wireless sensors. The metaphor that "the sensornet is a database" i...
Amol Deshpande, Carlos Guestrin, Samuel Madden, Jo...
147
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IWANN
1999
Springer
15 years 9 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson