139 search results - page 16 / 28 » Incremental Support Vector Learning: Analysis, Implementatio... |
KDD
2007
ACM
14 years 9 months ago
2007
ACM
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
SEMWEB
2010
Springer
13 years 6 months ago
2010
Springer
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
BCS
2008
13 years 10 months ago
2008
In this work, a new algorithm is proposed for fast estimation of nonparametric multivariate kernel density, based on principal direction divisive partitioning (PDDP) of the data s...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...