420 search results - page 36 / 84 » Metric-Based Methods for Adaptive Model Selection and Regula... |
NIPS
2007
13 years 9 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
CSDA
2007
13 years 7 months ago
2007
The Lasso is an attractive regularisation method for high dimensional regression. It combines variable selection with an efficient computational procedure. However, the rate of co...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
JMLR
2010
13 years 2 months ago
2010
Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficie...
TSP
2008
13 years 7 months ago
2008
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...