90 search results - page 1 / 18 » Random Feature Subset Selection for Analysis of Data with Mi... |
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
MCS
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...