213 search results - page 34 / 43 » Semidefinite programming |
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...