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160
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ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
15 years 9 months ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
125
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PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
138
Voted
SEKE
2001
Springer
15 years 8 months ago
Adapting Game Technology to Support Individual and Organizational Learning
It is well known that traditional educational techniques can be complemented by simulation to achieve a more effective learning experience. One would expect the same phenomenon to...
Emily Oh Navarro, André van der Hoek
147
Voted
ICPR
2010
IEEE
15 years 3 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
114
Voted
AUTOMATICA
2007
103views more  AUTOMATICA 2007»
15 years 3 months ago
Adaptive learning control of linear systems by output error feedback
: This paper addresses the problem of designing an output error feedback tracking control for single-input, single-output, minimum phase, observable linear systems. The reference o...
Stefano Liuzzo, Riccardo Marino, Patrizio Tomei