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JMLR
2012
13 years 5 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
149
Voted
GECCO
2008
Springer
324views Optimization» more  GECCO 2008»
15 years 4 months ago
Convergence behavior of the fully informed particle swarm optimization algorithm
The fully informed particle swarm optimization algorithm (FIPS) is very sensitive to changes in the population topology. The velocity update rule used in FIPS considers all the ne...
Marco Antonio Montes de Oca, Thomas Stützle
105
Voted
MVA
1994
142views Computer Vision» more  MVA 1994»
15 years 4 months ago
The Evaluation of Textile Design's Visual Feature by Using a Genetic Algorithm
The designs that have been stored in early days are often used as a reference when textile designs are created. To effectively use these resources, a wellequipped design database ...
Ken'ichi Ohta, Kouichi Nishida, Fujio Miyawaki, Ka...
STOC
2010
ACM
181views Algorithms» more  STOC 2010»
15 years 3 months ago
Load balancing and orientability thresholds for random hypergraphs
Let h > w > 0 be two fixed integers. Let H be a random hypergraph whose hyperedges are uniformly of size h. To w-orient a hyperedge, we assign exactly w of its vertices posi...
Pu Gao, Nicholas C. Wormald
112
Voted
VISAPP
2008
15 years 4 months ago
Pose Clustering From Stereo Data
Abstract. This article describes an algorithm for pose or motion estimation based on clustering of parameters in the six-dimensional pose space. The parameter samples are computed ...
Ulrich Hillenbrand