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ESANN
2001
15 years 5 months ago
Penalized least squares, model selection, convex hull classes and neural nets
We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...
Gerald H. L. Cheang, Andrew R. Barron
JMLR
2010
158views more  JMLR 2010»
14 years 10 months ago
Topology Selection in Graphical Models of Autoregressive Processes
An algorithm is presented for topology selection in graphical models of autoregressive Gaussian time series. The graph topology of the model represents the sparsity pattern of the...
Jitkomut Songsiri, Lieven Vandenberghe
BMCBI
2008
135views more  BMCBI 2008»
15 years 3 months ago
Functional site prediction selects correct protein models
Background: The prediction of protein structure can be facilitated by the use of constraints based on a knowledge of functional sites. Without this information it is still possibl...
Vijayalakshmi Chelliah, William R. Taylor
ITNG
2008
IEEE
15 years 10 months ago
Combinatorial Test Case Selection with Markovian Usage Models
A method of using Markov chain techniques for combinatorial test case selection is presented. The method can be used for statistical and coverage testing of many software programs...
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poor...
ICCAD
2007
IEEE
135views Hardware» more  ICCAD 2007»
16 years 21 days ago
A selective pattern-compression scheme for power and test-data reduction
— This paper proposes a selective pattern-compression scheme to minimize both test power and test data volume during scan-based testing. The proposed scheme will selectively supp...
Chia-Yi Lin, Hung-Ming Chen