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» Robust Learning - Rich and Poor
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FSS
2002
120views more  FSS 2002»
14 years 9 months ago
Robust fuzzy control of nonlinear systems using shape-adaptive radial basis functions
Recently, various adaptive fuzzy control schemes have been proposed to deal with nonlinear systems whose dynamics are poorly understood by using the parameterized fuzzy approximat...
Hugang Han, Chun-Yi Su
TNN
2010
176views Management» more  TNN 2010»
14 years 4 months ago
On the weight convergence of Elman networks
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
Qing Song
ICPR
2008
IEEE
15 years 3 months ago
A novel robust kernel for appearance-based learning
Robustness is one of the most critical issues in the appearance-based learning strategies. In this work, we propose a novel kernel that is robust against data corruption for vario...
Chia-Te Liao, Shang-Hong Lai
SIAMJO
2008
104views more  SIAMJO 2008»
14 years 9 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
ICML
2006
IEEE
15 years 10 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...