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» Validation of protein models by a neural network approach
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ICPR
2006
IEEE
14 years 8 months ago
Rotation-Invariant Neoperceptron
Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical defor...
Beat Fasel, Daniel Gatica-Perez
IJON
2008
156views more  IJON 2008»
13 years 7 months ago
Structural identifiability of generalized constraint neural network models for nonlinear regression
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Courn&eg...
DATE
2004
IEEE
117views Hardware» more  DATE 2004»
13 years 11 months ago
Modeling and Validating Globally Asynchronous Design in Synchronous Frameworks
We lay a foundation for modeling and validation of asynchronous designs in a multi-clock synchronous programming model. This allows us to study properties of globally asynchronous...
Mohammad Reza Mousavi, Paul Le Guernic, Jean-Pierr...
BMCBI
2011
12 years 11 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
BMCBI
2010
158views more  BMCBI 2010»
13 years 7 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....