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» Reinforcement Learning with Time
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COLING
2010
14 years 11 months ago
Bringing Active Learning to Life
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...
Ines Rehbein, Josef Ruppenhofer, Alexis Palmer
COLT
1993
Springer
15 years 8 months ago
Learning Binary Relations Using Weighted Majority Voting
In this paper we demonstrate how weighted majority voting with multiplicative weight updating can be applied to obtain robust algorithms for learning binary relations. We first pre...
Sally A. Goldman, Manfred K. Warmuth
FOCS
2008
IEEE
15 years 10 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
CBMS
2008
IEEE
15 years 6 months ago
Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
96
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FSS
2002
93views more  FSS 2002»
15 years 4 months ago
Incremental learning in Fuzzy Pattern Matching
We use learning methods to build classi
Moamar Sayed Mouchaweh, Arnaud Devillez, Gé...