HONcode

This website is certified by Health On the Net Foundation. Click to verify. This site complies with the HONcode standard for trust worthy health information:
verify here.


Search only trustworthy HONcode health websites:

Affiliations

REACTION is affilliated with these programs and organisations:

REACTION is delivering better and more efficient healthcare services in Europe, thus supporting the Commissions activities in ICT for Health: eHealth.



The REACTION platform allows for the creation of inclusive applications with accessibility for all. The project supports the Commissions campaign: eInclusion - be part of it!



Sign In

Enter Username

Password



Forgotten your password?
Request a new one here.

Facts



The REACTION project is a 4-year project started in 2010. It is partly funded by the European Commission under the 7th Framework Programme in the area of Personal Health Systems under Grant Agreement no. 248590

 Impressum   Privacy

Previous Newsletters


Read previous issues of our newsletter here:

April 2014
August 2013
June 2012
August 2011
April 2011
November 2010

Share this

Bookmark and Share

eHealth at Facebook

Join the discussion on EC eHealth at Facebook!

Downloads: Learning from mixture of experimental data: a constraint-based approach

Downloads Home > Scientific conference papers > Learning from mixture of experimental data: a constraint-based approach

Learning from mixture of experimental data: a constraint-based approach


Abstract:
We propose a novel approach for learning graphical models when data coming from different experimental conditions are available. We argue that classical constraint-based algorithms can be easily applied to mixture of experimental data given an appropriate conditional independence test. We show that, when perfect statistical inference are assumed, a sound conditional independence test for mixtures of experimental data can consist in evaluating the null hypothesis of conditional independence separately for each experimental condition. We successively indicate how this test can be modified in order to take in account statistical errors. Finally, we provide Proof-of-Concept results for demonstrating the validity of our claims.
Created:
Admin
22. May 2012 14:48
Downloads
Download 3030
Info
License: Springer
O/S: pdf

Download:
Download
Download Stats Downloads: 113
Downloaded: 379009
Most Downloaded: REACTION brochure [ 29902 ]
Most Recent: REACTION brochure [ 29902 ]