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» Designing RNA structures: natural and artificial selection
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SOFTCO
2004
Springer
15 years 3 months ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira
AIPS
2009
14 years 10 months ago
Minimal Sufficient Explanations for Factored Markov Decision Processes
Explaining policies of Markov Decision Processes (MDPs) is complicated due to their probabilistic and sequential nature. We present a technique to explain policies for factored MD...
Omar Zia Khan, Pascal Poupart, James P. Black
BMCBI
2010
158views more  BMCBI 2010»
14 years 9 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....
90
Voted
ICCAD
2008
IEEE
98views Hardware» more  ICCAD 2008»
15 years 6 months ago
Statistical path selection for at-speed test
Abstract— Process variations make at-speed testing significantly more difficult. They cause subtle delay changes that are distributed rather than the localized nature of a trad...
Vladimir Zolotov, Jinjun Xiong, Hanif Fatemi, Chan...
83
Voted
ATAL
2008
Springer
14 years 11 months ago
Extending virtual organizations to improve trust mechanisms
Virtual Organizations (VOs) are becoming an increasingly important research topic in the field of Multi-Agent Systems (MAS). The problem of selecting suitable counterparts to inte...
Ramón Hermoso, Roberto Centeno, Holger Bill...