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JMLR
2010
119views more  JMLR 2010»
13 years 2 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»
13 years 2 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
14 years 8 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»
13 years 8 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
13 years 2 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