155 search results - page 16 / 31 » Using Genetic Programming and High Level Synthesis to Design... |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
The accurate quantification of proteins is important in several areas of cell biology, biotechnology and medicine. Both relative and absolute quantification of proteins is often d...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
CC
2011
Springer
12 years 11 months ago
2011
Springer
For decades, the design and implementation of arrays in programming languages has reflected a natural tension between productivity and performance. Recently introduced HPCS langua...