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140
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JMLR
2012
13 years 6 months ago
2012
In this paper we address the problem of pool based active learning, and provide an algorithm, called UPAL, that works by minimizing the unbiased estimator of the risk of a hypothe...
110
Voted
ICALT
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper explored whether a consideration of the personality type of each learner would extend collaborative learning experiences under a distant learning or e-learning environm...
116
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AGI
2008
15 years 5 months ago
2008
Learning theory and programs to date are inductively bounded: they can be described as "wind-up toys" which can only learn the kinds of things that their designers envisi...
125
Voted
ESANN
2006
15 years 5 months ago
2006
We focus on neuro-dynamic programming methods to learn state-action value functions and outline some of the inherent problems to be faced, when performing reinforcement learning in...
118
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...