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IJCNN
2000
IEEE
14 years 1 months ago
Continuous Optimization of Hyper-Parameters
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
Yoshua Bengio
ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Sangho Yoon, Robert M. Gray
VLSID
2002
IEEE
105views VLSI» more  VLSID 2002»
14 years 9 months ago
A Heuristic for Clock Selection in High-Level Synthesis
Clock selection has a significant impact on the performance and quality of designs in high-level synthesis. In most synthesis systems, a convenient value of the clock is chosen or...
J. Ramanujam, Sandeep Deshpande, Jinpyo Hong, Mahm...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 3 months ago
Crossover operators for multiobjective k-subset selection
Genetic algorithms are often applied to combinatorial optimization problems, the most popular one probably being the traveling salesperson problem. In contrast to permutations use...
Thorsten Meinl, Michael R. Berthold
CEC
2007
IEEE
14 years 3 months ago
Performance tuning of genetic algorithms with reserve selection
Abstract— This paper provides a deep insight into the performance of genetic algorithms with reserve selection (GARS), and investigates how parameters can be regulated to solve o...
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu