1092 search results - page 170 / 219 » Convex Methods for Transduction |
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
ICCAD
2004
IEEE
14 years 7 months ago
2004
IEEE
We present techniques for improving the accuracy of geometric-programming (GP) based analog circuit design optimization. We describe major sources of discrepancies between the res...
IEEECGIV
2009
IEEE
14 years 4 months ago
2009
IEEE
—We present a novel algorithm to segment a 3D surface mesh into visually meaningful regions. Our approach is based on an analysis of the local geometry of vertices. In particular...
PRIB
2009
Springer
14 years 4 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 ...