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» Lower Bounds Using Kolmogorov Complexity
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ICML
2008
IEEE
14 years 9 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
IPPS
2007
IEEE
14 years 3 months ago
A Comparative Study of Parallel Metaheuristics for Protein Structure Prediction on the Computational Grid
A comparative study of parallel metaheuristics executed in grid environments is proposed, having as case study a genetic algorithm, a simulated annealing algorithm and a random se...
Alexandru-Adrian Tantar, Nouredine Melab, El-Ghaza...
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 2 months ago
Some theoretical results about the computation time of evolutionary algorithms
This paper focuses on the computation time of evolutionary algorithms. First, some exact expressions of the mean first hitting times of general evolutionary algorithms in finite...
Lixin X. Ding, Jinghu Yu
SMA
2010
ACM
171views Solid Modeling» more  SMA 2010»
13 years 9 months ago
Efficient simplex computation for fixture layout design
Designing a fixture layout of an object can be reduced to computing the largest simplex and the resulting simplex is classified using the radius of the largest inscribed ball cent...
Yu Zheng, Ming C. Lin, Dinesh Manocha
TSP
2008
114views more  TSP 2008»
13 years 8 months ago
Universal Switching Linear Least Squares Prediction
We consider sequential regression of individual sequences under the square error loss. Using a competitive algorithm framework, we construct a sequential algorithm that can achieve...
Suleyman Serdar Kozat, Andrew C. Singer