63 search results - page 8 / 13 » Better Huffman Coding via Genetic Algorithm |
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side cons...
EC
2007
13 years 7 months ago
2007
Evolutionary algorithms rarely deal with ontogenetic, non-inherited alteration of genetic information because they are based on a direct genotype-phenotype mapping. In contrast, i...
IPPS
2007
IEEE
14 years 1 months ago
2007
IEEE
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
NN
2007
Springer
13 years 7 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...