147 search results - page 28 / 30 » Agnostic Learning with Ensembles of Classifiers |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
BMCBI
2010
13 years 7 months ago
2010
Background: Recombinant protein production is a useful biotechnology to produce a large quantity of highly soluble proteins. Currently, the most widely used production system is t...
CSIE
2009
IEEE
14 years 2 months ago
2009
IEEE
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...