Soledad De Esteban Trivigno
2013-Sep-03 14:54 UTC
[R] ANN: Course Data Mining with R in Spain
Dear colleague: Registration is open for the course CLASSIFICATION AND REGRESSION TREES AND NEURAL NETWORKS WITH R - Second Edition. INSTRUCTORS: Dr. Lloren? Badiella (UAB, Spain), Dr. Joan Valls? (Biomedical Research Institute of Lleida, Spain) and Dr. Montserrat Mart?nez-Alonso (Biomedical Research Institute of Lleida, Spain). DATES: November 4-7, 2013; 24 teaching hours. PLACE:? Premises of Sabadell of the Institut Catal? de Paleontologia Miquel Crusafont,? Sabadell,? Barcelona (Spain). Organized by: Transmitting Science and the Institut Catal? de Paleontologia Miquel? Crusafont. More information: http://www.transmittingscience.org/cart_with_r.htm or? writing to courses at transmittingscience.org 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 soledad.esteban at transmittingscience.org Transmitting Science www.transmittingscience.org
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+s789695n4675267h14@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 Martínez-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+s789695n789696h13@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]]