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152
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CIBCB
2005
IEEE
15 years 6 months ago
Neuro-fuzzy Prediction of Biological Activity and Rule Extraction for HIV-1 Protease Inhibitors
— A fuzzy neural network (FNN) and multiple linear regression (MLR) were used to predict biological activities of 26 newly designed HIV-1 protease potential inhibitory compounds....
Razvan Andonie, Levente Fabry-Asztalos, Catharine ...
113
Voted
ACL
2008
15 years 6 months ago
Assessing the Costs of Sampling Methods in Active Learning for Annotation
Traditional Active Learning (AL) techniques assume that the annotation of each datum costs the same. This is not the case when annotating sequences; some sequences will take longe...
Robbie Haertel, Eric K. Ringger, Kevin D. Seppi, J...
NAACL
2004
15 years 6 months ago
Ensemble-based Active Learning for Parse Selection
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
Miles Osborne, Jason Baldridge
123
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GRAPHICSINTERFACE
1998
15 years 6 months ago
Active Implicit Surface for Animation
This paper introduces a new model of deformable surfaces designed for animation, which we call active implicit surfaces. The underlying idea is to animate a potential field define...
Mathieu Desbrun, Marie-Paule Gascuel
FMSD
2006
131views more  FMSD 2006»
15 years 4 months ago
Specification and analysis of the AER/NCA active network protocol suite in Real-Time Maude
This paper describes the application of the Real-Time Maude tool and the Maude formal methodology to the specification and analysis of the AER/NCA suite of active network multicast...
Peter Csaba Ölveczky, José Meseguer, C...