166 search results - page 4 / 34 » Efficient Model Selection for Kernel Logistic Regression |
SCFBM
2008
13 years 4 months ago
2008
The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a vari...
SIGPRO
2010
13 years 1 days ago
2010
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of non-stationarity such as session dependent variation, the recor...
JMLR
2002
13 years 5 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
CSDA
2007
13 years 5 months ago
2007
R package flexmix provides flexible modelling of finite mixtures of regression models using the EM algorithm. Several new features of the software such as fixed and nested var...
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...