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» A Fast KNN Algorithm Based on Simulated Annealing
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DMIN
2007
214views Data Mining» more  DMIN 2007»
13 years 6 months ago
A Fast KNN Algorithm Based on Simulated Annealing
K-Nearest Neighbor is used broadly in text classification, but it has one deficiency—computational efficiency. In this paper, we propose a heuristic search way to find out the k ...
Chuanyao Yang, Yuqin Li, Chenghong Zhang, Yunfa Hu
CEC
2007
IEEE
13 years 11 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
EPIA
2007
Springer
13 years 11 months ago
Evaluating Simulated Annealing Algorithms in the Optimization of Bacterial Strains
Abstract. In this work, a Simulated Annealing (SA) algorithm is proposed for a Metabolic Engineering task: the optimization of the set of gene deletions to apply to a microbial str...
Miguel Rocha, Rui Mendes, Paulo Maia, José ...
AAAI
2008
13 years 7 months ago
From Comparing Clusterings to Combining Clusterings
This paper presents a fast simulated annealing framework for combining multiple clusterings (i.e. clustering ensemble) based on some measures of agreement between partitions, whic...
Zhiwu Lu, Yuxin Peng, Jianguo Xiao
CORR
2000
Springer
99views Education» more  CORR 2000»
13 years 4 months ago
Adaptive simulated annealing (ASA): Lessons learned
Adaptive simulated annealing (ASA) is a global optimization algorithm based on an associated proof that the parameter space can be sampled much more efficiently than by using othe...
Lester Ingber