First of all, our team is absolutely delighted that Judea Pearl won the ACM Turing Award, widely considered the "Nobel Prize in Computing". For well over a decade we've been exclusively committed to developing software based on Bayesian networks, a paradigm established by Judea for reasoning under uncertainty. We are confident that this award will be a great accelerator in gaining broad acceptance for this paradigm, or rather, as we said half-jokingly to Judea in Nov. 2010, the "evangelization" of Bayesian networks.

BayesiaLab Training Sessions

The next training seminars "Bayesian Networks for Expert Knowledge Modeling and Data Mining" will take place in:

• Los Angeles, CA, USA, April 18-20 (right after the INFORMS Conference on Business Analytics & O.R.)
• Paris, France, June 19-21 (in French)
• Boston, MA, USA, June 26-28
• Toronto, Canada, July 17-19
• Paris, France, September 25-27 (in French)
• San Jose, CA, USA, October (to be held in conjunction with the 2012 Data Mining Camp)

We cover all the fundamentals of Bayesian Networks and Data Mining, so no prior knowledge is required other than a basic familiarity with mathematical and statistical concepts. In conjunction with the seminar, participants have access to a 60-day unrestricted license of BayesiaLab Professional Edition, so they can experience the full array of features through the hands-on exercises.

Click here for details about the training and registration informat...

Conferences

Please join us at the following events:

• ICISTM, Grenoble, France, March 28-30. We will give a 2-hour tutorial "Introduction to Bayesian Belief Networks and their Applications", March 29, 8:00 am 
• INFORMS Conference on Business Analytics & O.R., Huntington Beach, CA, USA, April 14-17. We will give a 3-hour Technology Workshop "Introduction to Bayesian Networks and BayesiaLab 5.0", April 15, 9:00 am. We will also have a 1-hour Software Tutorial "Unsupervised Structural Learning for Knowledge Discovery with BayesiaLab 5.0", April 16, 9:10 am
• SENSOMETRICS, Rennes, France, July 10-13. We will give a 3-hour tutorial "Introduction to Bayesian Belief Networks and their applications in the field of marketing science", July 10, 9:00 am.

 Library

Here is the list of our most recent White Papers available in the BayesiaLab resources section:

• Introduction to Bayesian networks  
• Paradoxes and Fallacies: Resolving some well-known puzzles with Bay...
• Driver analysis and product optimization with BayesiaLab
• Probabilistic Latent Factor Induction and Statistical Factor Analysis
• Causal Inference and Direct Effects
• Unsupervised and Supervised Learning with BayesiaLab
• Breast Cancer Diagnostics with Bayesian Networks
• Microarray analysis with Bayesian Networks
• Modeling Vehicle Choice and Simulating Market Share with Bayesian N...
• Missing Values Imputation
•  BEKEE, Bayesia Expert Knowledge Elicitation Environment (Slides)
  This presentation describes our fully new web application for Expert Knowledge Modeling with Bayesian Belief Networks, working both in Interactive and Batch mode. This environment allows reducing lots of biases (cognitive, group and facilitator), allows greatly improving the traceability of the brainstorming sessions, and comes with news tools for probability verification.

 Upcoming Webinars

• Marketing Mix Optimization with Bayesian Networks, May 10, 2012, 12 noon (CDT, GMT -05:00)
• Introduction to BEKEE, the Bayesia Expert Knowledge Elicitation Environment, May 23, 2012, 12 noon (CDT, GMT -05:00)

 Archived Webinars

• Probabilistic Structural Equation Models - Application to Human Res...
• Driver Analysis with Probabilistic Structural Equation Models  
• Knowledge discovery in the stock market with Bayesian Networks - Pa...
• Knowledge discovery in the stock market - Part 2
• Data Clustering with Bayesian Networks and BayesiaLab 5.0
• Bayesian Network 101
  

 Bayesian Belief Networks Discussion Group

Last year we created a discussion group on LinkedIn dedicated to Bayesian Belief Networks with BayesiaLab. Today, this group has almost 900 members and it hosts a wide range of interesting discussions and also features the latest announcements from Bayesia. You will also find Frequently Asked Questions (FAQ) in this group, with experts from BayesiaLab and users of the program exchanging the latest tips and tricks. 

You can join our LinkedIn group by clicking here.

With best regards,

Dr. Lionel Jouffe

Bayesia SAS
6, rue Leonard de Vinci
53001 Laval
FRANCE
http://www.bayesia.com

Tel.: +33(0)2 43 49 75 69
Fax: +33(0)2 43 49 75 83

You can also view this newsletter online