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COMPENG
2010
231views Algorithms» more  COMPENG 2010»
13 years 10 months ago
Intelligent Health Monitoring of Critical Infrastructure Systems
Marios M. Polycarpou, Georgios Ellinas, Elias Kyri...
ATAL
2010
Springer
13 years 10 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
ATAL
2010
Springer
13 years 10 months ago
Local search for distributed asymmetric optimization
Distributed Constraints Optimization (DCOP) is a powerful framework for representing and solving distributed combinatorial problems, where the variables of the problem are owned b...
Alon Grubshtein, Roie Zivan, Tal Grinshpoun, Amnon...
APPROX
2010
Springer
189views Algorithms» more  APPROX 2010»
13 years 10 months ago
Approximating Sparsest Cut in Graphs of Bounded Treewidth
We give the first constant-factor approximation algorithm for Sparsest-Cut with general demands in bounded treewidth graphs. In contrast to previous algorithms, which rely on the f...
Eden Chlamtac, Robert Krauthgamer, Prasad Raghaven...
APPROX
2010
Springer
135views Algorithms» more  APPROX 2010»
13 years 10 months ago
Monotonicity Testing and Shortest-Path Routing on the Cube
We study the problem of monotonicity testing over the hypercube. As previously observed in several works, a positive answer to a natural question about routing properties of the hy...
Jop Briët, Sourav Chakraborty, David Garc&iac...
APPROX
2010
Springer
150views Algorithms» more  APPROX 2010»
13 years 10 months ago
Reconstruction Threshold for the Hardcore Model
In this paper we consider the reconstruction problem on the tree for the hardcore model. We determine new bounds for the non-reconstruction regime on the k-regular tree showing non...
Nayantara Bhatnagar, Allan Sly, Prasad Tetali
APPROX
2010
Springer
160views Algorithms» more  APPROX 2010»
13 years 10 months ago
Proximity Algorithms for Nearly-Doubling Spaces
We introduce a new problem in the study of doubling spaces: Given a point set S and a target dimension d , remove from S the fewest number of points so that the remaining set has d...
Lee-Ad Gottlieb, Robert Krauthgamer
APPROX
2010
Springer
138views Algorithms» more  APPROX 2010»
13 years 10 months ago
The Euclidean Distortion of Flat Tori
We show that for every n-dimensional lattice L the torus Rn /L can be embedded with distortion O(n
Ishay Haviv, Oded Regev
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 11 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...