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JCC
2002
85views more  JCC 2002»
15 years 6 months ago
Efficiency of the multicanonical simulation method as applied to peptides of increasing size: The heptapeptide deltorphin
: The advantage of the multicanonical (MUCA) simulation method of Berg and coworkers over the conventional Metropolis method is in its ability to move a system effectively across e...
Fatih Yaar, Handan Arkin, Tarik Çelik, Bern...
MCS
2007
Springer
15 years 6 months ago
Computing the principal eigenvalue of the Laplace operator by a stochastic method
We describe a Monte Carlo method for the numerical computation of the principal eigenvalue of the Laplace operator in a bounded domain with Dirichlet conditions. It is based on th...
Antoine Lejay, Sylvain Maire
118
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JMLR
2010
88views more  JMLR 2010»
15 years 1 months ago
Descent Methods for Tuning Parameter Refinement
This paper addresses multidimensional tuning parameter selection in the context of "train-validate-test" and K-fold cross validation. A coarse grid search over tuning pa...
Alexander Lorbert, Peter J. Ramadge
ECIR
2011
Springer
14 years 10 months ago
Combination of Feature Selection Methods for Text Categorisation
Feature selection plays a vital role in text categorisation. A range of different methods have been developed, each having unique properties and selecting different features. We ...
Robert Neumayer, Rudolf Mayer, Kjetil Nørv&...
JMLR
2012
13 years 9 months ago
Primal-Dual methods for sparse constrained matrix completion
We develop scalable algorithms for regular and non-negative matrix completion. In particular, we base the methods on trace-norm regularization that induces a low rank predicted ma...
Yu Xin, Tommi Jaakkola