110 search results - page 1 / 22 » Probabilistic Joint Feature Selection for Multi-task Learnin... |
JMLR
2011
12 years 11 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
TSP
2008
13 years 3 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Face verification has many potential applications including
filtering and ranking image/video search results on
celebrities. Since these images/videos are taken under uncontrolle...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We treat feature selection and basis selection in a unified framework by introducing the masking matrix. If one considers feature selection as finding a binary mask vector that de...