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ISMB
1996
15 years 3 months ago
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
For transmembrane proteins experimental determina-tion of three-dimensional structure is problematic. However, membrane proteins have important impact for molecular biology in gen...
Burkhard Rost, Rita Casadio, Piero Fariselli
COMPUTER
1999
69views more  COMPUTER 1999»
15 years 1 months ago
Scientific Components Are Coming
abstract mathematical or physical statement, not something specific. The way scientific programmers most frequently verify that their programs are correct is to examine their resul...
Paul F. Dubois
VMCAI
2005
Springer
15 years 7 months ago
On the Complexity of Error Explanation
When a system fails to satisfy its specification, the model checker produces an error trace (or counter-example) that demonstrates an undesirable behavior, which is then used in d...
Nirman Kumar, Viraj Kumar, Mahesh Viswanathan
112
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SIGSOFT
1996
ACM
15 years 6 months ago
Abstracting Dependencies between Software Configuration Items
ing Dependencies between Software Configuration Items CARL A. GUNTER University of Pennsylvania icle studies an abstract model of dependencies between software configuration items ...
Carl A. Gunter
JMLR
2012
13 years 4 months ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli