10054 search results - page 194 / 2011 » On the Complexity of Function Learning |
114
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GECCO
2005
Springer
15 years 6 months ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
94
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ITICSE
1997
ACM
15 years 5 months ago
1997
ACM
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...
85
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CORR
2010
Springer
15 years 25 days ago
2010
Springer
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
120
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JMLR
2010
14 years 7 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
109
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IACR
2011
14 years 12 days ago
2011
We give direct constructions of pseudorandom function (PRF) families based on conjectured hard lattice problems and learning problems. Our constructions are asymptotically effici...