similar to: New Webinar Series: The Evolution of Regression From Classical Linear Regression to Modern Ensembles (Hands-on Component)

Begins Friday: The Evolution of Regression: An Upcoming Webinar Series (Hands-on Component) Registration: http://bit.ly/salford-systems-regression-webinar-series Regression is one of the most popular modeling methods, but the classical approach has significant problems. This webinar series address these problems. Are you are working with larger datasets? Is your data challenging? Does your data

Maybe you missed Part 1 of "The Evolution of Regression Modeling from Classical Linear Regression to Modern Ensembles " webinar series, but you can still join for Parts 2, 3, & 4 Register Now for Parts 2, 3, 4: https://www1.gotomeeting.com/register/500959705 Download (optional) a free evaluation of the SPM software suite v7.0 (used in the hands-on components of the webinar). As a

Tomorrow, Friday March 15 Maybe you missed Part 1 of "The Evolution of Regression Modeling from Classical Linear Regression to Modern Ensembles " webinar series, but you can still join for Parts 2, 3, & 4 > Register Now for Parts 2, 3, 4: https://www1.gotomeeting.com/register/500959705 > > Course Outline: Overcoming Linear Regression Limitations > > Regression is

Hands-on Webinar (no charge) Advances in Regression: Modern Ensemble and Data Mining Approaches **Part of the series: The Evolution of Regression from Classical Linear Regression to Modern Ensembles Register Now for Parts 3, 4: https://www1.gotomeeting.com/register/500959705 **All registrants will automatically receive access to recordings of Parts 1 & 2. Course Abstract: Overcoming Linear

Webinar signup: Advances in Gradient Boosting: the Power of Post-Processing December 14, 10-11 a.m., PST Webinar Registration: http://2.salford-systems.com/gradientboosting-and-post-processing/ Course Outline: * Gradient Boosting and Post-Processing: o What is missing from Gradient Boosting? o Why post-processing techniques are used? * Applications Benefiting from

Webinar: Advances in Gradient Boosting: the Power of Post-Processing TOMORROW: December 14, 10-11 a.m., PST Webinar Registration: http://2.salford-systems.com/gradientboosting-and-post-processing/ Course Outline: I. Gradient Boosting and Post-Processing: o What is missing from Gradient Boosting? o Why post-processing techniques are used? II. Applications Benefiting from Post-Processing:

Dear List, I'm trying to find a way to extract the individual conditional inference trees from cforest ( a modelling function in the party package) in a manner analogous to getTree in randomForest and I'm struggling. I can see that the information is held within the ensemble list, but haven't been able to work out how this sequence of nested lists is structured or if any of the items

Apologies for cross posting.... --------------------------------------------------------------------- CART Data Mining'04: First International CART(R) Conferences Focusing on the Data Mining technology of Leo Breiman, Jerome Friedman, Richard Olshen, Charles Stone (CART, MARS(R), TreeNet(tm), PRIM(tm)...) First Call For submissions

-----BEGIN PGP SIGNED MESSAGE----- [ Sorry for sending this twice; I sent it to the vorbis-dev list by mistake. ] The ALBUM, ARTIST, TITLE, and TRACKNUMBER tags aren't sufficient for classical music. MP3 muffed it, but since Vorbis is so flexible, I'd like to propose that ogg123 recognize and display the following optional tags, instead of giving an error message that it doesn't

-----BEGIN PGP SIGNED MESSAGE----- [ Sorry for sending this twice; I sent it to the vorbis-dev list by mistake. ] The ALBUM, ARTIST, TITLE, and TRACKNUMBER tags aren't sufficient for classical music. MP3 muffed it, but since Vorbis is so flexible, I'd like to propose that ogg123 recognize and display the following optional tags, instead of giving an error message that it doesn't

A month or two ago I sent an email to this list proposing to expand the list of "standard" tags for Ogg Vorbis. No tag would be required, but if you wanted to encode certain types of information about a file, you could use a standard tag. I went through the whole discussion, and revised my proposal in light of all the comments from everyone. Here is the updated proposal. This

DATA MINING 2006 CONFERENCE sponsored by Salford Systems San Diego, California: March 29 - March 31, 2006 The Conference will offer Real-World Case Study Presentations including Cutting Edge Topics: Crime Prevention * Anti-Terrorism * Gambling * Sports * Video Games * Food & Water Science * Diet Research * Standardized Testing There will be special courses available for attendees who are

I've read through what I think is the entire thread and looked at the standard in its current incarnation (https://reactor-core.org/~djw/ogg-tags.txt). I have only one major problem with the proposed standard at the moment. The existance of both PERFORMER and ENSEMBLE tags. I think this is describing the same type of data (ENSEMBLE = thing that performed the music, PERFORMER = thing that

I've read through what I think is the entire thread and looked at the standard in its current incarnation (https://reactor-core.org/~djw/ogg-tags.txt). I have only one major problem with the proposed standard at the moment. The existance of both PERFORMER and ENSEMBLE tags. I think this is describing the same type of data (ENSEMBLE = thing that performed the music, PERFORMER = thing that

2nd Workshop "Ensemble Methods" Max Planck Institute Tuebingen, Germany March 4-5, 2005 The second workshop on ensemble methods will take place at the Max Planck Institute Tuebingen (Germany) on March 4-5, 2005. This workshop is jointly organised by the German working groups "Computational Statistics" (IBS-DR) and "Statistical Computing" (GMDS) as well as the

Hi, Anybody used treenet here? I downloaded a demo but don't know how to start with. Does R has something like treenet? Thanks, [[alternative HTML version deleted]]

Our CEO, Dr. Dan Steinberg, is planning to visit Europe in May. He would like the opportunity to introduce statisticians (and statistically minded people) to data mining, data mining applications and to forefront data mining tools. Our algorithms are probably familiar to many statisticians (CART, MARS, MART, TreeNet and RandomForests), although it isn't necessary to be a statistician to

Last chance to register for Sydney, Australia Data Mining Training and Workshop. Training: June 5-7, 2006 Workshop: June 8, 2006 Register for 1, 2, 3 or 4 days. Location: Australian Graduate School of Management, Lecture Theatre Number 1 O'Connell Street Sydney, Australia Objective: The training and workshop are aimed at bringing together researchers and practitioners to learn about data

Dear useRs, I am struggling to use gamboost function form the 'mboost' package. More precisely, I am trying to extract the *partial fit* for each of the covariates estimated in a model and I usually end up with this annoying: "Error in newdata[[xname]] : subscript out of bounds ". I hope that the lack of details in my query can be straightforwardly compensated by examining the

Dear Sir, I got a problem with my program. I would like to classify my data using bagging support vector machine ensemble. I split my data into training data and test data. For a given data sets TR(X), K replicated training data sets are first randomly generated by bootstrapping technique with replacement. Next, Support Vector Mechine (SVM) is applied for each bootstrap data sets. Finally, the