19 search results - page 1 / 4 » Sparse Online Learning via Truncated Gradient |
NIPS
2008
13 years 6 months ago
2008
We propose a general method called truncated gradient to induce sparsity in the weights of onlinelearning algorithms with convex loss functions. This method has several essential ...
COLT
1995
Springer
13 years 8 months ago
1995
Springer
KDD
2010
ACM
13 years 6 months 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...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
AGI
2011
12 years 8 months ago
2011
Inspired by a broader perspective viewing intelligent system dynamics in terms of the geometry of “cognitive spaces,” we conduct a preliminary investigation of the application ...