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NECO
2006
157views more  NECO 2006»
14 years 11 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
NECO
2007
127views more  NECO 2007»
14 years 11 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
ECAL
2001
Springer
15 years 4 months ago
The Shifting Network: Volume Signalling in Real and Robot Nervous Systems
This paper presents recent work in computational modelling of diffusing gaseous neuromodulators in biological nervous systems. It goes on to describe work in adaptive autonomous sy...
Phil Husbands, Andrew Philippides, Tom Smith, Mich...
CISIS
2009
IEEE
15 years 6 months ago
New Physiological Biometrics Based on Human Cognitive Factors
Modeling and quantifying different human factors continue to be one of the major challenges in introducing new biometric systems. For example, drivers of some of our behavior diļ...
Omar Hamdy, Issa Traore
ICANN
2009
Springer
15 years 6 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...