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ICML
2003
IEEE
14 years 7 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 10 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
IJCSA
2006
289views more  IJCSA 2006»
13 years 6 months ago
Cash Forecasting: An Application of Artificial Neural Networks in Finance
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
PremChand Kumar, Ekta Walia
ARTCOM
2009
IEEE
14 years 1 months ago
Image Segmentation - A Survey of Soft Computing Approaches
—Soft Computing is an emerging field that consists of complementary elements of fuzzy logic, neural computing and evolutionary computation. Soft computing techniques have found w...
N. Senthilkumaran, R. Rajesh
CLOR
2006
13 years 10 months ago
Synergistic Face Detection and Pose Estimation with Energy-Based Models
We describe a novel method for real-time, simultaneous multi-view face detection and facial pose estimation. The method employs a convolutional network to map face images to point...
Margarita Osadchy, Yann LeCun, Matthew L. Miller