1334 search results - page 89 / 267 » Composite kernel learning |
146
Voted
ICML
2002
IEEE
16 years 4 months ago
2002
IEEE
During the last years, the use of string kernels that compare documents has been shown to achieve good results on text classification problems. In this paper we introduce the appl...
109
Voted
DCC
2009
IEEE
16 years 3 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...
139
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WSOM
2009
Springer
15 years 10 months ago
2009
Springer
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-su...
135
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PAMI
2006
15 years 3 months ago
2006
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
149
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ICASSP
2009
IEEE
15 years 1 months ago
2009
IEEE
We present a framework to apply Volterra series to analyze multilayered perceptrons trained to estimate the posterior probabilities of phonemes in automatic speech recognition. Th...