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» Adaptive Online Gradient Descent
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82
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NN
2002
Springer
125views Neural Networks» more  NN 2002»
14 years 9 months ago
Generalized relevance learning vector quantization
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
Barbara Hammer, Thomas Villmann
88
Voted
GIS
2009
ACM
15 years 1 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
TFS
2008
129views more  TFS 2008»
14 years 8 months ago
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin
ARVLSI
2001
IEEE
267views VLSI» more  ARVLSI 2001»
15 years 1 months ago
Focal-Plane Image and Beam Quality Sensors for Adaptive Optics
Control of adaptive optical elements for real-time wavefront phase distortion compensation is a rapidly growing field of research and technology development. Wavefront correction ...
Marc Cohen, Gert Cauwenberghs, Mikhail Vorontsov, ...
SIGIR
2006
ACM
15 years 3 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...