16666 search results - page 2752 / 3334 » Descriptive and Computational Complexity |
228
click to vote
ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
242
click to vote
ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
209
click to vote
ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
190
click to vote
ICML
2008
IEEE
16 years 8 months ago
2008
IEEE
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
156
click to vote
ICML
2006
IEEE
16 years 8 months ago
2006
IEEE
We consider the sparse grid combination technique for regression, which we regard as a problem of function reconstruction in some given function space. We use a regularised least ...