1766 search results - page 20 / 354 » Classifier Selection Based on Data Complexity Measures |
DAWAK
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
PAKDD
2000
ACM
13 years 11 months ago
2000
ACM
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of field...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...