1416 search results - page 11 / 284 » The Kernel Least-Mean-Square Algorithm |
102
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
EMNLP
2008
14 years 11 months ago
2008
This paper introduces a new kernel which computes similarity between two natural language sentences as the number of paths shared by their dependency trees. The paper gives a very...
PAKDD
2007
ACM
15 years 3 months ago
2007
ACM
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
CSDA
2010
14 years 9 months ago
2010
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...
111
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JMLR
2012
13 years 1 days ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...