345 search results - page 12 / 69 » Sentiment Mining Using Ensemble Classification Models |
WOB
2008
13 years 9 months ago
2008
Abstract. Despite the recent advances in Molecular Biology, the function of a large amount of proteins is still unknown. An approach that can be used in the prediction of a protein...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
DAWAK
2006
Springer
13 years 11 months ago
2006
Springer
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
AUSAI
2009
Springer
13 years 11 months ago
2009
Springer
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...