60 search results - page 7 / 12 » Nonlinear Time-Series Prediction with Missing and Noisy Data |
KDD
2009
ACM
14 years 3 months ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
SACMAT
2010
ACM
14 years 1 months ago
2010
ACM
There has been increasing interest in automatic techniques for generating roles for role based access control, a process known as role mining. Most role mining approaches assume t...
BMVC
2010
13 years 7 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
IWANN
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...