300 search results - page 8 / 60 » Kernels for Generalized Multiple-Instance Learning |
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DSMML
2004
Springer
15 years 3 months ago
2004
Springer
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...
ALT
2010
Springer
14 years 11 months ago
2010
Springer
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...