523 search results - page 24 / 105 » Incremental training of support vector machines using hypers... |
NIPS
2007
15 years 3 months ago
2007
Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel ...
112
click to vote
ICML
2006
IEEE
16 years 2 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...
106
click to vote
NCA
2010
IEEE
15 years 10 days ago
2010
IEEE
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
113
click to vote
DATAMINE
1998
15 years 1 months ago
1998
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
138
click to vote
ICML
2003
IEEE
16 years 2 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...