Project Presentation
(ppt)
1 / 43 Freiburg Seminar, May 9, 2007A. Hoecker: Data Mining with TMVA HEP Data Mining with TMVA ToolKit for Multivariate Analysis with ROOT Andreas Hoecker.
A Guideline to Statistical and Machine Learning
Jörg Stelzer ( * ) – DESY, Hamburg ACAT 2008, 3 rd -7 th Nov, Erice, Sicily.
Software Quality Ranking: Bringing Order to Software Modules in Testing Fei Xing Michael R. Lyu Ping Guo.
Handwritten Fonts Modeling Based on Fat Lines of Variable Width Stanislav Klimenko Moscow Physicotechnical Institute Moscow, Russia [email protected].
Introduction to Statistics and Machine Learning 1 How do we: understandunderstand interpretinterpret our measurements How do we get the data for our measurements.
Greg GrudicIntro AI1 Introduction to Artificial Intelligence CSCI 3202: The Perceptron Algorithm Greg Grudic.
Multivariate Data Analysis with T MVA
Classification and Linear Classifiers
Multivariate Data Analysis with TMVA Andreas Hoecker ( * ) (CERN) Seminar at Edinburgh, Scotland, Dec 5, 2008 ( * ) On behalf of the present core developer.
