222 search results - page 17 / 45 » Learning Optimal Parameters in Decision-Theoretic Rough Sets |
DAGM
2006
Springer
14 years 8 days ago
2006
Springer
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
VLDB
1995
ACM
14 years 4 days ago
1995
ACM
Traditionally, optimizers are “programmed” to optimize queries following a set of buildin procedures. However, optimizers should be robust to its changing environment to gener...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...