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CVPR
2010
IEEE
15 years 7 months ago
Online Multiple Instance Learning with No Regret
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Li Mu, James Kwok, Lu Bao-liang
CEAS
2007
Springer
15 years 3 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
ISDA
2010
IEEE
14 years 9 months ago
Intelligent online case-based planning agent model for real-time strategy games
Research in learning and planning in real-time strategy (RTS) games is very interesting in several industries such as military industry, robotics, and most importantly game industr...
Ibrahim Fathy, Mostafa Aref, Omar Enayet, Abdelrah...
SRDS
2007
IEEE
15 years 6 months ago
Using Hidden Semi-Markov Models for Effective Online Failure Prediction
A proactive handling of faults requires that the risk of upcoming failures is continuously assessed. One of the promising approaches is online failure prediction, which means that...
Felix Salfner, Miroslaw Malek
SIGUCCS
2004
ACM
15 years 5 months ago
Window to a new world: online freshman orientation via portal
In June 2003, Lehigh University embarked on an experiment to present incoming freshmen with an online pre-orientation experience using the SCT Luminis 3 Portal environment. Three ...
Sherri Yerk-Zwickl