1427 search results - page 63 / 286 » Kernels for Semi-Structured Data |
BIOINFORMATICS
2005
13 years 7 months ago
2005
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
Abstract. In this paper we present a novel and general framework based on concepts of relational algebra for kernel-based learning over relational schema. We exploit the notion of ...
NIPS
2007
13 years 9 months ago
2007
Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected st...
DCC
2009
IEEE
14 years 8 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...