818 search results - page 63 / 164 » Regularized multi--task learning |
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
IWANN
2007
Springer
14 years 4 months ago
2007
Springer
The residual variance estimation problem is well-known in statistics and machine learning with many applications for example in the field of nonlinear modelling. In this paper, we...
CIVR
2005
Springer
14 years 3 months ago
2005
Springer
We analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavio...
AAAI
2007
14 years 8 days ago
2007
We describe how a physical robot can learn about objects from its own autonomous experience in the continuous world. The robot identifies statistical regularities that allow it t...
JMLR
2010
13 years 4 months ago
2010
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic fun...