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Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems ...
In classification each region is assigned a class, while in regression each region has its own distinct regression coefficients. Computational experimentations with generated and real data sets show ...
Classification and Regression Trees (CART) Course Topics Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical ...
Classification and regression trees can identify 6-month mortality risk for patients with advanced hepatocellular carcinoma.
DTSA 5020 Regression and Classification DTSA 5020 Regression and Classification Specialization: Intro to Statistical Learning Instructor: James Bird, Instructor Prior knowledge needed: Intro ...
CHUNMING ZHANG, YUAN JIANG, YI CHAI, Penalized Bregman divergence for large-dimensional regression and classification, Biometrika, Vol. 97, No. 3 (SEPTEMBER 2010), pp. 551-566 ...
Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using ...
The Data Science Lab How to Do Logistic Regression Using ML.NET Microsoft Research's Dr. James McCaffrey show how to perform binary classification with logistic regression using the Microsoft ML.NET ...