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» Performing hypothesis tests on the shape of functional data
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ATAL
2010
Springer
15 years 29 days ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone
BMCBI
2011
14 years 6 months ago
ASPDock: protein-protein docking algorithm using atomic solvation parameters model
Background: Atomic Solvation Parameters (ASP) model has been proven to be a very successful method of calculating the binding free energy of protein complexes. This suggests that ...
Lin Li, Dachuan Guo, Yangyu Huang, Shiyong Liu, Yi...
ICCV
2007
IEEE
15 years 6 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
BMCBI
2005
121views more  BMCBI 2005»
14 years 11 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown
BMCBI
2008
135views more  BMCBI 2008»
14 years 12 months ago
Functional site prediction selects correct protein models
Background: The prediction of protein structure can be facilitated by the use of constraints based on a knowledge of functional sites. Without this information it is still possibl...
Vijayalakshmi Chelliah, William R. Taylor