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» The Dark Side of Object Learning: Learning Objects
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ICANN
2009
Springer
15 years 11 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...
IWANN
2009
Springer
15 years 11 months ago
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...
ICPR
2008
IEEE
15 years 11 months ago
Determination of optimal metabolic pathways through a new learning algorithm
In the present article, we introduce a new method for identification of metabolic pathways in constraint based models that consider enzyme and substrate concentrations. It genera...
C. A. Murthy, Mouli Das, Rajat K. De, Subhasis Muk...
DIGITEL
2007
IEEE
15 years 10 months ago
Shadow Box: an interactive learning toy for children
The Shadow Box is a tangible computing project that exploits visual association and auditory clues to teach children the representational relationship between words and their mean...
Ja-Young Sung, Aaron Levisohn, Ji-won Song, Ben To...
DAGM
2004
Springer
15 years 9 months ago
Learning with Distance Substitution Kernels
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
Bernard Haasdonk, Claus Bahlmann