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NN
2006
Springer
120views Neural Networks» more  NN 2006»
14 years 11 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
3DPVT
2004
IEEE
131views Visualization» more  3DPVT 2004»
15 years 3 months ago
Neural Mesh Ensembles
This paper proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerfu...
Ioannis P. Ivrissimtzis, Yunjin Lee, Seungyong Lee...
IJCNN
2000
IEEE
15 years 4 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
HICSS
2005
IEEE
154views Biometrics» more  HICSS 2005»
15 years 5 months ago
Market Structure and the Predictability of Electricity System Line Flows: An Experimental Analysis
Robert Thomas has shown, using simulations of experimental results, that the power flow on any line in an electric network is linearly proportional to the total system load when t...
Nodir Adilov, Thomas Light, Richard E. Schuler, Wi...
BMCBI
2008
123views more  BMCBI 2008»
14 years 12 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...