110 search results - page 11 / 22 » Neural Meshes: Statistical Learning Based on Normals |
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. There are many examples of intelligent and learning systems that are based either on the connectionist or the symbolic approach. Although the latter can be successfully c...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
NN
2006
Springer
13 years 7 months ago
2006
Springer
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
NIPS
2000
13 years 9 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
IWCMC
2010
ACM
13 years 9 months ago
2010
ACM
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...