139 search results - page 10 / 28 » Incremental Support Vector Learning: Analysis, Implementatio... |
132
Voted
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
140
Voted
TASLP
2008
15 years 3 months ago
2008
In this paper, we investigate the noise robustness of Wang and Shamma's early auditory (EA) model for the calculation of an auditory spectrum in audio classification applicati...
114
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We propose a local, generative model for similarity-based classification. The method is applicable to the case that only pairwise similarities between samples are available. The c...
114
Voted
FSKD
2006
Springer
15 years 7 months ago
2006
Springer
This paper presents an investigation into the combination of different classifiers for toxicity prediction. These classification methods involved in generating classifiers for comb...
132
Voted
AAAI
2007
15 years 6 months ago
2007
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...