12194 search results - page 65 / 2439 » Numberings Optimal for Learning |
112
click to vote
CEC
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
111
Voted
ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
122
click to vote
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
132
Voted
ICANN
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
JIRS
2007
15 years 13 days ago
2007
— Today, there are many opportunities to create vision-based intelligent systems that are human-centric. This is a very rich area because humans are very complex, and the number ...