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» Active Learning for Networked Data
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TSLP
2010
87views more  TSLP 2010»
14 years 10 months 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»
14 years 11 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 6 months ago
Investigating neuronal activity by SPYCODE multi-channel data analyzer
Luca Leonardo Bologna, Valentina Pasquale, Matteo ...
ICML
2005
IEEE
16 years 15 days 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