522 search results - page 9 / 105 » Two-Stage Learning Kernel Algorithms |
127
Voted
COLT
2003
Springer
15 years 7 months ago
2003
Springer
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
98
Voted
NIPS
2008
15 years 3 months ago
2008
Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
117
Voted
ICML
2004
IEEE
16 years 3 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...
104
Voted
ICASSP
2008
IEEE
15 years 8 months ago
2008
IEEE
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
141
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PRIB
2009
Springer
15 years 8 months ago
2009
Springer
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...