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TSLP
2010
87views more  TSLP 2010»
15 years 27 days ago
Confidence-based stopping criteria for active learning for data annotation
Jingbo Zhu, Huizhen Wang, Eduard H. Hovy, Matthew ...
IJON
2002
74views more  IJON 2002»
15 years 2 months ago
Optimal spontaneous activity in neural network modeling
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...
Daniel Remondini, Nathan Intrator, Gastone C. Cast...
NN
2010
Springer
164views Neural Networks» more  NN 2010»
14 years 9 months ago
Investigating neuronal activity by SPYCODE multi-channel data analyzer
Luca Leonardo Bologna, Valentina Pasquale, Matteo ...
122
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ICML
2005
IEEE
16 years 3 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore