391 search results - page 18 / 79 » Optimal Approximation of Signal Priors |
150
Voted
JMLR
2008
15 years 3 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...
133
Voted
NIPS
2004
15 years 5 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...
139
Voted
IPMI
2007
Springer
16 years 4 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,...
132
Voted
TSMC
2008
15 years 3 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...
116
Voted
ICASSP
2011
IEEE
14 years 7 months 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...