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» Variable Selection for Optimal Decision Making
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ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 1 months ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...
WSC
2008
13 years 11 months ago
Enhancing simulation as improvement and decision support system tool
Lecturing a Discrete Event Simulation course implies some challenges for the instructors. These challenges implies taking decisions from the design of the course to the selection ...
Heriberto Garcia, Eduardo Garcia
PLDI
1995
ACM
14 years 4 days ago
Selective Specialization for Object-Oriented Languages
Dynamic dispatching is a major source of run-time overhead in object-oriented languages, due both to the direct cost of method lookup and to the indirect effect of preventing othe...
Jeffrey Dean, Craig Chambers, David Grove
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
13 years 3 months ago
Distributed constrained optimization over noisy networks
In this paper we deal with two problems which are of great interest in the field of distributed decision making and control. The first problem we tackle is the problem of achieving...
Kunal Srivastava, Angelia Nedic, Dusan M. Stipanov...
ICIP
2003
IEEE
14 years 10 months ago
Rate distortion optimized mode decision in the scalable video coding
In this paper, we discuss how to apply the rate distortion technique to select the optimal mode in the scalable coding. Firstly, we analyze this problem from a general scalable mo...
Zhijie Yang, Feng Wu, Shipeng Li