148 search results - page 21 / 30 » Feature space perspectives for learning the kernel |
119
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
137
Voted
IJCNLP
2004
Springer
15 years 8 months ago
2004
Springer
The snapshot of a word means the most informative fragment of the word. By taking the snapshot instead of the whole, the value space of the lexical feature can be significantly r...
101
Voted
COLT
2008
Springer
15 years 5 months ago
2008
Springer
A kernel over the Boolean domain is said to be reflection-invariant, if its value does not change when we flip the same bit in both arguments. (Many popular kernels have this prop...
144
Voted
ICPR
2010
IEEE
15 years 10 months ago
2010
IEEE
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
156
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...