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» A Data Model for Effectively Computable Functions
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ICANN
2010
Springer
14 years 10 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
CPHYSICS
2008
123views more  CPHYSICS 2008»
14 years 10 months ago
wannier90: A tool for obtaining maximally-localised Wannier functions
We present wannier90, a program for calculating maximally-localised Wannier functions (MLWF) from a set of Bloch energy bands that may or may not be attached to or mixed with othe...
Arash A. Mostofi, Jonathan R. Yates, Young-Su Lee,...
ICFP
2006
ACM
15 years 9 months ago
Programming monads operationally with Unimo
Monads are widely used in Haskell for modeling computational effects, but defining monads remains a daunting challenge. Since every part of a monad's definition depends on it...
Chuan-Kai Lin
ASIACRYPT
2009
Springer
15 years 4 months ago
Secure Multi-party Computation Minimizing Online Rounds
Multi-party secure computations are general important procedures to compute any function while keeping the security of private inputs. In this work we ask whether preprocessing can...
Seung Geol Choi, Ariel Elbaz, Tal Malkin, Moti Yun...
RECOMB
2002
Springer
15 years 10 months ago
A bayesian approach to transcript estimation from gene array data: the BEAM technique
We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BE...
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald...