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118
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ICML
2005
IEEE
2005
IEEE
Active learning for sampling in time-series experiments with application to gene expression analysis
16 years 4 months ago
Many time-series experiments seek to estimate some signal as a continuous function of time. In this paper, we address the sampling problem for such experiments: determining which ...
126
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper, we demonstrate the use of learning with non-uniform error-cost as a novel technique to design a multiclass cost-sensitive classifier. We investigate two important ...
133
Voted
INTERSPEECH
2010
14 years 10 months ago
2010
In this paper we investigate a computational model of word learning that is cognitively plausible. The model is partly trained on incorrect form-referent pairings, modelling the i...
127
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CORR
2010
Springer
15 years 3 months ago
2010
Springer
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
159
Voted
CIBCB
2009
IEEE
15 years 4 months ago
2009
IEEE
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...