2033 search results - page 27 / 407 » Semi-Supervised Support Vector Machines |
DATAMINE
1998
13 years 8 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-...
DMIN
2009
13 years 6 months ago
2009
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
JISE
2010
13 years 3 months ago
2010
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
ICML
1998
IEEE
14 years 9 months ago
1998
IEEE
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...