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NIPS
2004
13 years 11 months ago
Semi-supervised Learning by Entropy Minimization
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
Yves Grandvalet, Yoshua Bengio
AAAI
1997
13 years 11 months ago
Machine Learning for Intelligent Systems
Recent research in machine learning has focused on supervised induction for simple classi cation and reinforcement learning for simple reactive behaviors. In the process, the eld ...
Pat Langley
ISBI
2008
IEEE
14 years 10 months ago
Best individual template selection from deformation tensor minimization
We study the influence of the choice of template in tensorbased morphometry. Using 3D brain MR images from 10 monozygotic twin pairs, we defined a tensor-based distance in the log...
Natasha Lepore, Caroline A. Brun, Yi-Yu Chou, Agat...
ILP
2004
Springer
14 years 3 months ago
Improving Rule Evaluation Using Multitask Learning
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
Mark D. Reid
ICS
2007
Tsinghua U.
14 years 4 months ago
Locality of sampling and diversity in parallel system workloads
Observing the workload on a computer system during a short (but not too short) time interval may lead to distributions that are significantly different from those that would be o...
Dror G. Feitelson