304 search results - page 4 / 61 » Computational Experience with the Batch Means Method |
75
Voted
PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
81
Voted
CCE
2008
14 years 9 months ago
2008
We present a novel approach for solving different design problems related to single products in multipurpose batch plants: the selection of one production line out of several avai...
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
We have previously proposed unsupervised cross-validation (CV) adaptation that introduces CV into an iterative unsupervised batch mode adaptation framework to suppress the influe...
GECCO
2007
Springer
2007
Springer
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
15 years 3 months ago
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
100
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...