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JMLR
2010
119views more  JMLR 2010»
14 years 4 months ago
The Coding Divergence for Measuring the Complexity of Separating Two Sets
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Mahito Sugiyama, Akihiro Yamamoto
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 4 months ago
Distributed Private Data Analysis: On Simultaneously Solving How and What
We examine the combination of two directions in the field of privacy concerning computations over distributed private inputs – secure function evaluation (SFE) and differential...
Amos Beimel, Kobbi Nissim, Eran Omri
ISBI
2006
IEEE
15 years 10 months ago
3-D tomographic reconstruction of the average propagator from MRI data
The measurement of the 3-D "average propagator", P(r), from diffusion-weighted (DW) NMR or MRI data has been a "holy grail" in materials science and biomedicin...
Valery Pickalov, Peter J. Basser
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
14 years 10 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
BMCBI
2011
14 years 4 months ago
A lightweight, flow-based toolkit for parallel and distributed bioinformatics pipelines
Background: Bioinformatic analyses typically proceed as chains of data-processing tasks. A pipeline, or ‘workflow’, is a well-defined protocol, with a specific structure defin...
Marcin Cieslik, Cameron Mura