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CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 1 months ago
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Matthias Hein, Thomas Bühler
124
Voted
CORR
2011
Springer
179views Education» more  CORR 2011»
14 years 11 months ago
Cooperative searching for stochastic targets
Spatial search problems abound in the real world, from locating hidden nuclear or chemical sources to finding skiers after an avalanche. We exemplify the formalism and solution fo...
Vadas Gintautas, Aric A. Hagberg, Luís M. A...
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
15 years 9 months ago
Game Theoretic Control for Robot Teams
— In the real world, noisy sensors and limited communication make it difficult for robot teams to coordinate in tightly coupled tasks. Team members cannot simply apply single-ro...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
CORR
2008
Springer
147views Education» more  CORR 2008»
15 years 4 months ago
A Minimum Relative Entropy Principle for Learning and Acting
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Pedro A. Ortega, Daniel A. Braun
STOC
2009
ACM
120views Algorithms» more  STOC 2009»
16 years 4 months ago
A constant-factor approximation for stochastic Steiner forest
We consider the stochastic Steiner forest problem: suppose we were given a collection of Steiner forest instances, and were guaranteed that a random one of these instances would a...
Anupam Gupta, Amit Kumar