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» Randomized Algorithms and Complexity Theory
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FUIN
2008
108views more  FUIN 2008»
15 years 1 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
ICC
2007
IEEE
142views Communications» more  ICC 2007»
15 years 9 months ago
Turbo Codes Based Image Transmission for Channels with Both Random Errors and Packet Loss
Abstract— In this paper, we propose an unequal error protection (UEP) framework for progressive image transmission over wireless networks with both random errors and packet loss....
Lei Yao, Lei Cao
IROS
2007
IEEE
158views Robotics» more  IROS 2007»
15 years 9 months ago
Feature selection in conditional random fields for activity recognition
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...
MMAS
2010
Springer
14 years 10 months ago
A Novel Method for Solving Multiscale Elliptic Problems with Randomly Perturbed Data
We propose a method for efficient solution of elliptic problems with multiscale features and randomly perturbed coefficients. We use the multiscale finite element method (MsFEM) as...
Victor Ginting, Axel Målqvist, Michael Presh...
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 7 months ago
Structure and metaheuristics
Metaheuristics have often been shown to be effective for difficult combinatorial optimization problems. The reason for that, however, remains unclear. A framework for a theory of ...
Yossi Borenstein, Riccardo Poli