1416 search results - page 113 / 284 » The Kernel Least-Mean-Square Algorithm |
157
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ICANN
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
153
Voted
ECAI
2006
Springer
15 years 7 months ago
2006
Springer
Recent work on Semantic Role Labeling (SRL) has shown that syntactic information is critical to detect and extract predicate argument structures. As syntax is expressed by means of...
134
Voted
CIMAGING
2008
15 years 5 months ago
2008
The Non-Local Means (NLM) method of denoising has received considerable attention in the image processing community due to its performance, despite its simplicity. In this paper, ...
129
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NIPS
2008
15 years 5 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
128
Voted
NIPS
2008
15 years 5 months ago
2008
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...