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...
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 ...
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...
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...
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...