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» Robust Feature Selection Algorithms
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113
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ACL
2010
15 years 20 days ago
A Framework for Figurative Language Detection Based on Sense Differentiation
Various text mining algorithms require the process of feature selection. High-level semantically rich features, such as figurative language uses, speech errors etc., are very prom...
Daria Bogdanova
141
Voted
ATAL
2009
Springer
15 years 9 months ago
Reasoning intra-dependency in commitments for robust scheduling
Commitment-modeled protocols enable flexible and robust interactions among agents. However, existing work has focused on features and capabilities of protocols without considerin...
Mingzhong Wang, Kotagiri Ramamohanarao, Jinjun Che...
112
Voted
ITICSE
1997
ACM
15 years 6 months ago
A genetic algorithms tutorial tool for numerical function optimisation
The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation pro...
Edmund K. Burke, D. B. Varley
119
Voted
AAAI
2006
15 years 4 months ago
Quantifying the Impact of Learning Algorithm Parameter Tuning
The impact of learning algorithm optimization by means of parameter tuning is studied. To do this, two quality attributes, sensitivity and classification performance, are investig...
Niklas Lavesson, Paul Davidsson
122
Voted
ICCAD
2006
IEEE
127views Hardware» more  ICCAD 2006»
15 years 11 months ago
Joint design-time and post-silicon minimization of parametric yield loss using adjustable robust optimization
Parametric yield loss due to variability can be effectively reduced by both design-time optimization strategies and by adjusting circuit parameters to the realizations of variable...
Murari Mani, Ashish Kumar Singh, Michael Orshansky