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DEAL a software package for learning in Bayesian Networks

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DEAL - a software package for learning in Bayesian Networks ... Susanne G. B ttcher (alma_at_math.auc.dk) Soon to finish Ph.D. Supervisor: Steffen Lauritzen ... – PowerPoint PPT presentation

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Title: DEAL a software package for learning in Bayesian Networks


1
DEAL - a software package for learning in
Bayesian Networks
  • Susanne G. BøttcherClaus Dethlefsen
  • Aalborg University
  • and
  • Novo Nordisk A/S

2
The DEAL Team
  • Susanne G. Bøttcher (alma_at_math.auc.dk)Soon to
    finish Ph.D. Supervisor Steffen Lauritzen
  • Claus Dethlefsen (dethlef_at_math.auc.dk)Recent
    Ph.D. within state space models. Supervisor
    Søren Lundbye-Christensen
  • Both supported by Novo Nordisk A/SAugust
    2001-August 2003

3
History of DEAL
  • 1997-2002 Susannes Ph.D. Development of theory
  • 2000-2001Birth Preliminary software in S-Plus
    (Susanne)
  • Nov/Dec 2001 Prototype (Susanne/Claus)
  • May 2002 Baptized
  • Aug 2002 DEAL is released (Susanne/Claus)

4
What can DEAL do for us?
5
Bayesian Networks for Mixed Variables
6
Conditional Gaussian Distribution
7
Parameter and Structure Learning
8
Development
  • Latent variables, missing observations
  • Improve interface to Hugin
  • Improvement on search strategies
  • Graphical interface
  • Applications in Diabetes research

9
Download
  • www.math.auc.dk/novo/deal

10
R
  • S-plus clone
  • Free software (GNU)
  • Open Source
  • Runs on many platforms
  • Supports dynamic loading of C-code
  • http//sunsite.dk/R mirror of CRAN

11
gR initiative
  • Steffen Lauritzen, Kurt Hornik, Peter Dalgaard
  • Integrate facilities for computing with graphical
    models in R
  • Open source and easily extendible

12
gR Software
  • CoCo
  • Digram
  • Mim
  • Tetrad
  • Bugs
  • Deal
  • ...

13
Prediction of Insulin Sensitivity Index
14
Graphical model of Novos approach
15
It seems to be more complex
16
Demonstration
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