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» Learning fault-tolerance in Radial Basis Function Networks
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NN
2008
Springer
158views Neural Networks» more  NN 2008»
13 years 7 months ago
Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and
Wide-area coordinating control is becoming an important issue and a challenging problem in the power industry. This paper proposes a novel optimal wide-area coordinating neurocont...
Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Har...
MICCAI
2000
Springer
13 years 11 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
NIPS
1998
13 years 8 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
BIRD
2007
Springer
117views Bioinformatics» more  BIRD 2007»
14 years 1 months ago
Enhancing Protein Disorder Detection by Refined Secondary Structure Prediction
More and more proteins have been observed to display functions through intrinsic disorder. Such structurally flexible regions are shown to play important roles in biological proces...
Chung-Tsai Su, Tong-Ming Hsu, Chien-Yu Chen, Yu-Ye...
ENGL
2007
141views more  ENGL 2007»
13 years 7 months ago
A Novel Multi-Agent Controller for Dynamic Systems based on Supervisory Loop Approach
— This paper presents a new intelligent agent supervisory loop based approach for dynamic system control. The scheme consists of three software agents that work in an autonomous ...
Sukumar Kamalasadan