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AI
2009
Springer
13 years 11 months ago
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Dirk Gorissen
JMLR
2010
162views more  JMLR 2010»
12 years 11 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
SAC
2005
ACM
13 years 10 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
NIPS
2001
13 years 5 months ago
Learning Spike-Based Correlations and Conditional Probabilities in Silicon
We have designed and fabricated a VLSI synapse that can learn a conditional probability or correlation between spike-based inputs and feedback signals. The synapse is low power, c...
Aaron P. Shon, David Hsu, Chris Diorio
JUCS
2008
163views more  JUCS 2008»
13 years 4 months ago
Authoring Social-aware Tasks on Active Spaces
: Social-aware computing is an emerging trend based on ubiquitous computing technologies and collaborative work. A successful design demands a better understanding of group tasks, ...
Roberto F. Arroyo, Miguel Gea, José Luis Ga...