410 search results - page 45 / 82 » MILIS: Multiple Instance Learning with Instance Selection |
102
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LION
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
JMLR
2006
14 years 9 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
194
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INFOCOM
2012
IEEE
13 years 4 days ago
2012
IEEE
Wireless Sensor Networks (WSNs) are no longer a nascent technology and today, they are actively deployed as a viable technology in many diverse application domains such as health ...