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TSP
2008
167views more  TSP 2008»
13 years 4 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
CI
2011
93views more  CI 2011»
13 years 24 days ago
Supporting clinical processes and decisions by hierarchical planning and scheduling
This paper is focused on how a general-purpose hierarchical planning representation, based on the HTN paradigm, can be used to support the representation of oncology treatment pro...
Juan Fernández-Olivares, Luis A. Castillo, ...
JCC
2011
154views more  JCC 2011»
12 years 8 months ago
Can we trust docking results? Evaluation of seven commonly used programs on PDBbind database
: Docking is one of the most commonly used techniques in drug design. It is used for both identifying correct poses of a ligand in the binding site of a protein as well as for the ...
Dariusz Plewczynski, Michal Lazniewski, Rafal Augu...