8 search results - page 1 / 2 » Multiresponse Sparse Regression with Application to Multidim... |
ICANN
2005
Springer
13 years 10 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...
WSOM
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This paper presents a new methodology for missing value imputation in a database. The methodology combines the outputs of several Self-Organizing Maps in order to obtain ...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
CSR
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. How could one estimate the total number of clicks a new advertisement could potentially receive in the current market? This question, called the click volume estimation p...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...