From manuel.lopes at inria.fr Thu Nov 10 17:26:54 2011 From: manuel.lopes at inria.fr (Manuel Lopes) Date: Thu Nov 10 20:22:01 2011 Subject: [DevRob] PhD / Post-Doc Positions in Robot Learning - INRIA, Bordeaux In-Reply-To: <906819647.1048662.1320963218398.JavaMail.root@zmbs3.inria.fr> Message-ID: <1661875674.1048689.1320964014307.JavaMail.root@zmbs3.inria.fr> ** PhD / Post-Doc Positions in Robot Learning - INRIA, Bordeaux ** We are seeking applications for phd students and/or postdocs in the area of developmental robotics and robot learning at INRIA. The work involves developing robots that are able to learn novel skills and capable of natural and robust interactions with people. We are focusing our research on intelligent exploration techniques, robot learning and human-robot interaction. The candidates will be involved in research in the areas of robot learning, human-robot interaction and multi-agent systems. The candidates must have strong mathematical competences (e.g. machine learning and/or control theory), experience in robotics and programming proficiency (e.g. C/C++, Matlab, Python or Java). INRIA is a highly reputed french national center for computer science and automation. It has more than 3000 researchers and is distributed among 8 centers. These positions are for the Flowers Team at INRIA Bordeaux Sud-Ouest. To apply, e-mail a cover letter, describing background and motivation and email addresses of three references to Manuel Lopes (manuel.lopes@inria.fr). http://flowers.inria.fr http://www.inria.fr http://www.bordeaux.fr/ --------------------------------------------------------------- Manuel Lopes - Researcher flowers.inria.fr/mlopes FLOWERS team Phone: +33524574179 INRIA Bordeaux Sud-Ouest, Bat. A29 351 Cours de la Lib?ration 33405 Talence, Cedex, France --------------------------------------------------------------- From Conrady_Applied_Science_LLC at mail.vresp.com Fri Nov 18 15:16:03 2011 From: Conrady_Applied_Science_LLC at mail.vresp.com (Conrady Applied Science, LLC) Date: Fri Nov 18 15:16:08 2011 Subject: [DevRob] @BayesianNetwork - 11/2011 Newsletter Message-ID: Click to view this email in a browser http://hosted.vresp.com/810297/dfefde8e18/1478577211/7321495e85/ @BayesianNetwork - November 2011 Newsletter ---------------------------------------------------------------------------------- Upcoming Webinar: Probabilistic Structural Equation Models http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/959dfc6e79/utm_content=devrob%40developmentalrobotics.org&utm_source=VerticalResponse&utm_medium=Email&utm_term=Text%20Version%20-%20Link%201&utm_campaign=%40BayesianNetwork%20-%2011%2F2011%20Newsletter December 15, 12 noon CST (GMT -06:00) Probabilistic Structural Equation Models (PSEM), based on machine-learned Bayesian networks, provide an efficient alternative to traditional Structural Equation Models (SEM). With BayesiaLab 5.0, PSEMs can be created through a series of semi-automatic clustering steps, which allow analysts to perform driver analysis extremely quickly, reducing research time from "months to minutes." This webinar will demonstrate a complete workflow for a typical application in the field of marketing science. Dr. Lionel Jouffe and Stefan Conrady will present several updates to the approach originally described in their white paper, Driver Analysis & Product Optimization. This will include an illustration of Direct Effects computed by means of Likelihood Matching. Register for the webinar here: http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/4f8c1940ca/utm_content=devrob%40developmentalrobotics.org&utm_source=VerticalResponse&utm_medium=Email&utm_term=Text%20Version%20-%20Link%202&utm_campaign=%40BayesianNetwork%20-%2011%2F2011%20Newsletter ---------------------------------------------------------------------------------- Recorded Webinar: Bayesian Networks 101 http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/e556b283f0/utm_content=devrob%40developmentalrobotics.org&utm_source=VerticalResponse&utm_medium=Email&utm_term=Text%20Version%20-%20Link%203&utm_campaign=%40BayesianNetwork%20-%2011%2F2011%20Newsletter This 30-minute webinar will provide a brief overview of the basic concepts behind Bayesian networks. You will see how a few simple and intuitive ideas can form a marvelous framework for inference and reasoning. Among other fundamental topics, we will explain the connection between the factorization of a joint probability distribution and the structure of a Bayesian network. For illustration purposes we will use the well-known sprinkler example that is commonly presented in the literature. View or download the webinar here: http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/397a858fa7/utm_content=devrob%40developmentalrobotics.org&utm_source=VerticalResponse&utm_medium=Email&utm_term=Text%20Version%20-%20Link%204&utm_campaign=%40BayesianNetwork%20-%2011%2F2011%20Newsletter ---------------------------------------------------------------------------------- A 90-Second Video about Knowledge Discovery in High-Dimensional Domains with BayesiaLab: http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/5eec11eb25/hd=1 For a super-quick overview of BayesiaLab's capabilities for discovering knowledge in high-dimensional domains, please check out this short video (http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/6b1bb99330/hd=1) from our YouTube channel. We will utilize the unsupervised learning algorithms of the BayesiaLab 5.0 software package to automatically generate Bayesian networks from daily stock returns over a six-year period. ---------------------------------------------------------------------------------- BayesiaLab Training Schedule http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/e33d8531ee/utm_content=devrob%40developmentalrobotics.org&utm_source=VerticalResponse&utm_medium=Email&utm_term=Text%20Version%20-%20Link%207&utm_campaign=%40BayesianNetwork%20-%2011%2F2011%20Newsletter After the record training attendance in 2011 thus far, the following seminars are currently planned for the rest of this year and for 2012: - Laval, France, December 6-8 (in English), registration deadline December 1 - Paris, France, January 17-19 (in French) - Orlando, FL, USA, February 13-15 (right before the ASA Conference on Statistical Practice) - Paris, France, March 20-22 (in French) - Orange County, CA, USA, April 18-20 (right after the INFORMS Conference on Business Analytics & O.R.) - Paris, France, June 19-21 (in French) - Toronto, Canada, July 10-12 - Paris, France, September 25-27 (in French) - San Jose, CA, USA, October (to be held in conjunction with the 2012 Data Mining Camp) ---------------------------------------------------------------------------------- ASA Conference on Statistical Practice Orlando, Florida, February 16-18, 2012 http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/d6f3059369 The program for the inaugural ASA Conference on Statistical Practice is set. Are you a statistical practitioner - including data analysts, researchers, and scientists - engaged in the application of statistics to solve real-world problems on a daily basis? The conference will provide an opportunity to learn about the latest statistical methodologies and best practices in statistical design, analysis, programming, and consulting. Explore the program and register for the meeting and a short course, tutorial or career placement today. BayesiaLab will also have an exhibition stand at this new conference, so please stop by for a demo of the latest software features and new application examples. ---------------------------------------------------------------------------------- Download a Trial Version of BayesiaLab 5.0 Professional http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/f9db61f504 A free 30-day evaluation version of the latest release of BayesiaLab 5.0 Professional Edition is available for immediate download from the Bayesia S.A.S. server. Click here to register and download BayesiaLab (Windows, OS X, Linux/Unix, 32/64-bit): http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/e51b325b91 This will allow you to experiment with new the features of BayesiaLab 5.0, plus you can try out all the Bayesian network examples explained in our series of white papers: http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/fe6689c9d9/utm_content=devrob%40developmentalrobotics.org&utm_source=VerticalResponse&utm_medium=Email&utm_term=Text%20Version%20-%20Link%2011&utm_campaign=%40BayesianNetwork%20-%2011%2F2011%20Newsletter BayesiaLab is a powerful desktop application for knowledge discovery, data mining, analytics, predictive modeling and simulation - all based on the paradigm of Bayesian networks. Read More: http://cts.vresp.com/c/?ConradyAppliedScienc/dfefde8e18/7321495e85/5606b05dd7/utm_content=devrob%40developmentalrobotics.org&utm_source=VerticalResponse&utm_medium=Email&utm_term=Text%20Version%20-%20Link%2012&utm_campaign=%40BayesianNetwork%20-%2011%2F2011%20Newsletter ---------------------------------------------------------------------------------- Conrady Applied Science, LLC North American Sales and Consulting Partner of Bayesia S.A.S. +1-888-386-8383 info@conradyscience.com www.conradyscience.com twitter.com/bayesiannetwork facebook.com/conradyscience ______________________________________________________________________ If you no longer wish to receive these emails, please reply to this message with "Unsubscribe" in the subject line or simply click on the following link: http://cts.vresp.com/u?dfefde8e18/7321495e85/mlpftw ______________________________________________________________________ Click below to forward this email to a friend: http://oi.vresp.com/f2af/v4/send_to_friend.html?ch=dfefde8e18&lid=1478577211&ldh=7321495e85 ______________________________________________________________________ This message was sent by Conrady Applied Science, LLC using VerticalResponse Conrady Applied Science, LLC 312 Hamlet's End Way Franklin, Tennessee 37067 US Read the VerticalResponse for Group Edition marketing policy: http://www.verticalresponse.com/content/pm_policy.html -------------- next part -------------- An HTML attachment was scrubbed... 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