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» On the Convergence of Bound Optimization Algorithms
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GECCO
2004
Springer
15 years 12 months ago
Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm
This paper introduces subchromosome representations to the linkage learning genetic algorithm (LLGA). The subchromosome representation is utilized for effectively lowering the num...
Ying-Ping Chen, David E. Goldberg
UAI
1998
15 years 7 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
ADCM
2010
270views more  ADCM 2010»
15 years 6 months ago
A fast algorithm for the total variation model of image denoising
The total variation model of Rudin, Osher, and Fatemi for image denoising is considered to be one of the best denoising models. In the past, its solutions were based on nonlinear ...
Rong-Qing Jia, Hanqing Zhao
ICDCS
2008
IEEE
16 years 28 days ago
Mobile Filtering for Error-Bounded Data Collection in Sensor Networks
In wireless sensor networks, filters, which suppress data update reports within predefined error bounds, effectively reduce the traffic volume for continuous data collection. A...
Dan Wang, Jianliang Xu, Jiangchuan Liu, Feng Wang
AAAI
1998
15 years 7 months ago
A* with Bounded Costs
A key assumption of all problem-solving approaches based on utility theory, including heuristic search, is that we can assign a utility or cost to each state. This in turn require...
Brian Logan, Natasha Alechina