338 search results - page 11 / 68 » Algorithms for Learning Kernels Based on Centered Alignment |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
WAIM
2009
Springer
14 years 2 days ago
2009
Springer
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Kernel methods have been popular over the last decade to solve many computer vision, statistics and machine learning problems. An important, both theoretically and practically, op...
GECCO
2007
Springer
14 years 1 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 ...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...