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126
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CORR
2011
Springer
214views Education» more  CORR 2011»
14 years 4 months ago
K-Median Clustering, Model-Based Compressive Sensing, and Sparse Recovery for Earth Mover Distance
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
Piotr Indyk, Eric Price
114
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ATAL
2009
Springer
15 years 4 months ago
Improved approximation of interactive dynamic influence diagrams using discriminative model updates
Interactive dynamic influence diagrams (I-DIDs) are graphical models for sequential decision making in uncertain settings shared by other agents. Algorithms for solving I-DIDs fac...
Prashant Doshi, Yifeng Zeng
93
Voted
AAMAS
2007
Springer
15 years 26 days ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
IDEAL
2010
Springer
14 years 10 months ago
Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
Malik Magdon-Ismail, Jonathan T. Purnell
ICC
2007
IEEE
113views Communications» more  ICC 2007»
15 years 7 months ago
Load-Balanced Clustering Algorithms for Wireless Sensor Networks
— In this paper, we investigate the problem of grouping the sensor nodes into clusters to enhance the overall scalability of the network. A selected set of nodes, known as gatewa...
Chor Ping Low, Can Fang, Jim Mee Ng, Yew Hock Ang