391 search results - page 18 / 79 » Optimal Approximation of Signal Priors |
JMLR
2008
13 years 8 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
NIPS
2004
13 years 10 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
IPMI
2007
Springer
14 years 9 months ago
2007
Springer
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
TSMC
2008
13 years 8 months ago
2008
A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarante...
ICASSP
2011
IEEE
13 years 19 days ago
2011
IEEE
We provide two compressive sensing (CS) recovery algorithms based on iterative hard-thresholding. The algorithms, collectively dubbed as algebraic pursuits (ALPS), exploit the res...