We do it tomorrow if you have some time.good night! On Sep 3, 2013 5:04 PM, "Soledad De Esteban Trivigno [via R]" < ml-node+s789695n4675267...@n4.nabble.com> wrote:
> Dear colleague: > > Registration is open for the course CLASSIFICATION AND REGRESSION TREES > AND > NEURAL NETWORKS WITH R - Second Edition. > > INSTRUCTORS: Dr. Llorenç Badiella (UAB, Spain), Dr. Joan Valls > (Biomedical > Research Institute of Lleida, Spain) and Dr. Montserrat MartÃnez-Alonso > (Biomedical Research Institute of Lleida, Spain). > > DATES: November 4-7, 2013; 24 teaching hours. > > PLACE: Premises of Sabadell of the Institut Català de Paleontologia > Miquel > Crusafont, Sabadell, Barcelona (Spain). > > Organized by: Transmitting Science and the Institut Catalá de > Paleontologia > Miquel Crusafont. > > More information: http://www.transmittingscience.org/cart_with_r.htm or > writing > to [hidden email] <http://user/SendEmail.jtp?type=node&node=4675267&i=0> > > The main goal of the methods such as CART (Classification and Regression > Trees), > is to model and predict one response variable explained by a set of > dependent > variables. This methods can be particularly effective to model > interactions > between explanatory variables. On the other hand, as a statistical model, > a > neural network is based on linear and non-linear combinations of > explanatory > variables that interact with other combinations to predict or explain an > outcome > variable. Both CART and neural networks methods can provide good results > to > explain or predict an outcome variable, particularly when the number of > interactions is important. Nevertheless, these techniques also tend to > over-fit > the data and a validation of the models is required. ROC methods, > including a > sensitivity/specificity analyses and/or external validations can be > performed to > assess the consistency of these techniques. Applications cover a wide > range of > problems, including species classification in biology, prediction of the > prognosis of a patient in biomedicine, etc. > > Please feel free to distribute this information between your colleagues if > you > consider it appropriate. > > With best regards > > Soledad De Esteban-Trivigno, PhD. > Academic Director > [hidden email] <http://user/SendEmail.jtp?type=node&node=4675267&i=1> > Transmitting Science > www.transmittingscience.org > > ______________________________________________ > [hidden email] <http://user/SendEmail.jtp?type=node&node=4675267&i=2>mailing > list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > > ------------------------------ > If you reply to this email, your message will be added to the discussion > below: > > http://r.789695.n4.nabble.com/ANN-Course-Data-Mining-with-R-in-Spain-tp4675267.html > To start a new topic under R help, email > ml-node+s789695n789696...@n4.nabble.com > To unsubscribe from R, click > here<http://r.789695.n4.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=789695&code=dmlsbGFyaW5vLmVybmVzdG9AZ21haWwuY29tfDc4OTY5NXwxOTIwMjI1Njcz> > . > NAML<http://r.789695.n4.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml> > -- View this message in context: http://r.789695.n4.nabble.com/ANN-Course-Data-Mining-with-R-in-Spain-tp4675267p4675489.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
