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» Sampling Bounds for Stochastic Optimization
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TIP
2008
154views more  TIP 2008»
13 years 9 months ago
Adaptive Local Linear Regression With Application to Printer Color Management
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Maya R. Gupta, Eric K. Garcia, E. Chin
AIPS
2009
13 years 11 months ago
Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing
Recent research in robot exploration and mapping has focused on sampling environmental hotspot fields. This exploration task is formalized by Low, Dolan, and Khosla (2008) in a se...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
TSP
2010
13 years 4 months ago
Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
Sung-eok Jeon, Chuanyi Ji
STOC
1996
ACM
115views Algorithms» more  STOC 1996»
14 years 1 months ago
Minimum Cuts in Near-Linear Time
We significantly improve known time bounds for solving the minimum cut problem on undirected graphs. We use a "semiduality" between minimum cuts and maximum spanning tree...
David R. Karger
USS
2008
14 years 4 days ago
On Auditing Elections When Precincts Have Different Sizes
We address the problem of auditing an election when precincts may have different sizes. Prior work in this field has emphasized the simpler case when all precincts have the same s...
Javed A. Aslam, Raluca A. Popa, Ronald L. Rivest