267 search results - page 11 / 54 » Ridgelet kernel regression |
151
Voted
HAIS
2010
Springer
15 years 5 months ago
2010
Springer
Electric grids are moving from a centralized single supply chain towards a decentralized bidirectional grid of suppliers and consumers in an uncertain and dynamic scenario. Soon, t...
134
Voted
IDEAL
2004
Springer
15 years 9 months ago
2004
Springer
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
133
Voted
NIPS
2007
15 years 5 months ago
2007
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
153
Voted
ICMLA
2009
15 years 1 months ago
2009
This paper introduces a new algorithm, namely the EquiCorrelation Network (ECON), to perform supervised classification, and regression. ECON is a kernelized LARS-like algorithm, b...
154
Voted
TNN
2010
14 years 10 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...