1263 search results - page 48 / 253 » Kernel methods for learning languages |
ESANN
2008
13 years 10 months ago
2008
This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...
ICMLA
2008
13 years 10 months ago
2008
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
ICML
2002
IEEE
14 years 10 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
ALT
2004
Springer
14 years 6 months ago
2004
Springer
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
CP
2005
Springer
14 years 2 months ago
2005
Springer
