1172 search results - page 34 / 235 » From Data Distributions to Regularization in Invariant Learn... |
SDM
2007
SIAM
14 years 4 days 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...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
KDD
2010
ACM
14 years 22 days ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
EDM
2010
13 years 9 months ago
2010
Dynamic assessment (DA) has been advocated as an interactive approach to conduct assessments to students in the learning systems as it can differentiate student proficiency at a fi...
TMI
2008
13 years 10 months ago
2008
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...