44 search results - page 2 / 9 » Numerical methods for high-dimensional probability density f... |
112
Voted
CSDA
2007
15 years 3 months ago
2007
In this paper we study the problem of bivariate density estimation. The aim is to find a density function with the smallest number of local extreme values which is adequate with ...
159
Voted
JCNS
2000
15 years 3 months ago
2000
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
162
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
134
Voted
AMC
2008
15 years 3 months ago
2008
A system of stochastic differential equations is studied describing a compartmental carbon transfer model that includes uncertainties arising in the model from environmental and p...
144
Voted
BMCBI
2010
15 years 3 months ago
2010
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...