132 search results - page 10 / 27 » Multivariate regression depth |
SC
2009
ACM
14 years 3 months ago
2009
ACM
Current visualization tools lack the ability to perform fullrange spatial and temporal analysis on terascale scientific datasets. Two key reasons exist for this shortcoming: I/O ...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
IJCNN
2000
IEEE
14 years 27 days ago
2000
IEEE
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
EOR
2006
13 years 8 months ago
2006
Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying ...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...