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AI
2009
Springer
15 years 4 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
65
Voted
NIPS
2003
14 years 11 months ago
Prediction on Spike Data Using Kernel Algorithms
We report and compare the performance of different learning algorithms based on data from cortical recordings. The task is to predict the orientation of visual stimuli from the ac...
Jan Eichhorn, Andreas S. Tolias, Alexander Zien, M...
72
Voted
ICML
2006
IEEE
15 years 10 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...
63
Voted
ICIP
2005
IEEE
15 years 11 months ago
Improving performance of interactive categorization of images using relevance feedback
When using relevance feedback for the interactive categorization of images, the strategy employed by the system to select images to be presented to the user is of paramount import...
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
70
Voted
ICML
2008
IEEE
15 years 10 months ago
A generalization of Haussler's convolution kernel: mapping kernel
Kilho Shin, Tetsuji Kuboyama