57 search results - page 1 / 12 » Generalizing Version Space Support Vector Machines for Non-S... |
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Although version space support vector machines (VSSVMs) are a successful approach to reliable classification [6], they are restricted to separable data. This paper proposes gener...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
NN
2000
Springer
13 years 4 months ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
SADM
2010
13 years 3 months ago
2010
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
The Support Vector Machine (SVM) solution corresponds to the centre of the largest sphere inscribed in version space. Alternative approaches like Bayesian Point Machines (BPM) and...