955 search results - page 74 / 191 » Support Vector Neural Training |
81
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
ESANN
2008
15 years 2 months ago
2008
Adapting stimuli to stabilize neural responses is an important problem in the context of cortical prostheses. This paper describes two approaches for stimulus adaptation using supp...
80
Voted
ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
107
Voted
COLING
2002
15 years 18 days ago
2002
It is popular in WSD to use contextual information in training sense tagged data. Co-occurring words within a limited window-sized context support one sense among the semantically...
109
Voted
EURASIP
1990
15 years 4 months ago
1990
Inversionof multilayersynchronous networks is a method which tries to answer questions like What kind of input will give a desired output?" or Is it possible to get a desired...