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AAAI
1998
15 years 8 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
ICASSP
2010
IEEE
15 years 7 months ago
Weakly supervised learning with decision trees applied to fisheries acoustics
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
178
Voted
CN
2007
106views more  CN 2007»
15 years 6 months ago
Learning DFA representations of HTTP for protecting web applications
Intrusion detection is a key technology for self-healing systems designed to prevent or manage damage caused by security threats. Protecting web server-based applications using in...
Kenneth L. Ingham, Anil Somayaji, John Burge, Step...
NN
2008
Springer
169views Neural Networks» more  NN 2008»
15 years 6 months ago
Modeling a flexible representation machinery of human concept learning
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
164
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IEAAIE
2010
Springer
15 years 4 months ago
Learning User Preferences to Maximise Occupant Comfort in Office Buildings
It is desirable to ensure that the thermal comfort conditions in offices are in line with the preferences of occupants. Controlling their offices correctly therefore requires the c...
Anika Schumann, Nic Wilson, Mateo Burillo