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ALGOSENSORS
2009
Springer
14 years 3 months ago
Improved Approximation Algorithms for Maximum Lifetime Problems in Wireless Networks
A wireless ad-hoc network is a collection of transceivers positioned in the plane. Each transceiver is equipped with a limited battery charge. The battery charge is then reduced a...
Zeev Nutov, Michael Segal
ICC
2007
IEEE
185views Communications» more  ICC 2007»
14 years 3 months ago
Maximal Lifetime Rate and Power Allocation for Sensor Networks with Data Distortion Constraints
— We address a lifetime maximization problem for a single-hop wireless sensor network where multiple sensors encode and communicate their measurements of a Gaussian random source...
James C. F. Li, Subhrakanti Dey, Jamie S. Evans
COLT
2010
Springer
13 years 6 months ago
Principal Component Analysis with Contaminated Data: The High Dimensional Case
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
Huan Xu, Constantine Caramanis, Shie Mannor
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 8 months ago
Algorithmic Pricing via Virtual Valuations
Algorithmic pricing is the computational problem that sellers (e.g., in supermarkets) face when trying to set prices for their items to maximize their profit in the presence of a ...
Shuchi Chawla, Jason D. Hartline, Robert Kleinberg
JCSS
2008
138views more  JCSS 2008»
13 years 8 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...