718 search results - page 7 / 144 » Algorithmic approaches to training Support Vector Machines: ... |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
SYNASC
2006
IEEE
14 years 2 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
ICANN
2001
Springer
14 years 1 months ago
2001
Springer
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...