996 search results - page 23 / 200 » Generalised Kernel Machines |
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
The application of kernel-based learning algorithms has, so far, largely been confined to realvalued data and a few special data types, such as strings. In this paper we propose a...
ICASSP
2009
IEEE
14 years 2 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...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
ALT
2003
Springer
14 years 4 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...