375 search results - page 26 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
125
click to vote
UAI
2008
15 years 3 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
110
click to vote
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
This paper presents Bayesian edge inference (BEI), a
single-frame super-resolution method explicitly grounded in
Bayesian inference that addresses issues common to existing
meth...
150
click to vote
NAA
2004
Springer
15 years 7 months ago
2004
Springer
In this paper, we develop a probabilistic model for estimation of the numbers of cache misses during the sparse matrix-vector multiplication (for both general and symmetric matrice...
103
Voted
BMCBI
2008
15 years 1 months ago
2008
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
107
Voted
NIPS
2001
15 years 3 months ago
2001
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...