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 ...

Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems ...

Regression and Classification Course This online data science course will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and determining ...

What is data classification and why do we need it? Organisations have long organised data by function or “descriptive classifier”, such as whether it is an HR file or sales records.

Full regression testing is costly and inefficient in an era of high-frequency iterations. Precise testing has emerged to ...

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 ...

The decisions flow through the network until a final classification is made. How are the major companies attacking classification systems with artificial intelligence?

Classification and regression trees can identify 6-month mortality risk for patients with advanced hepatocellular carcinoma.