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Beyond banditron: A conservative and efficient reduction for online multiclass prediction with bandit setting model
- in Proc. of the 9th IEEE ICDM
"... Abstract—In this paper, we consider a recently proposed supervised learning problem, called online multiclass prediction with bandit setting model. Aiming at learning from partial feedback of online classification results, i.e. “true ” when the predicting label is right or “false ” when the predicti ..."
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Cited by 2 (1 self)
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Abstract—In this paper, we consider a recently proposed supervised learning problem, called online multiclass prediction with bandit setting model. Aiming at learning from partial feedback of online classification results, i.e. “true ” when the predicting label is right or “false ” when
4. TITLE AND SUBTITLE A Practical Theory of Micro-Solar Power Sensor Networks
, 2009
"... Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments ..."
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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information,
doi:10.1155/2012/826702 Research Article Exploiting the Burstiness of Intermediate-Quality Wireless Links
"... Copyright © 2012 Muhammad Hamad Alizai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We address the challenge of link estima ..."
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): an adaptive routing strategy that uses BLE for forwarding packets over bursty links if they offer better routing progress than long-term stable links. Our evaluation, comprising experimental data from widely used IEEE 802.15.4-based testbeds, reveals an average of 19 % and a maximum of 42 % reduction
unknown title
"... Anne SABOURIN Mélanges bayésiens de modèles d'extrêmes multivariés, Application à la prédétermination régionale des crues avec données incomplètes. Sous la direction de: ..."
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Anne SABOURIN Mélanges bayésiens de modèles d'extrêmes multivariés, Application à la prédétermination régionale des crues avec données incomplètes. Sous la direction de:
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