76 search results - page 7 / 16 » C2FS: An Algorithm for Feature Selection in Cascade Neural N... |
121
Voted
ICANN
2009
Springer
15 years 10 months ago
2009
Springer
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
126
Voted
IWANN
2005
Springer
15 years 9 months ago
2005
Springer
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
111
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
151
Voted
CEC
2010
IEEE
15 years 4 months ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
122
click to vote
ICANN
2001
Springer
15 years 8 months ago
2001
Springer
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...