JSTOR Daily

Towards a common methodology for developing logistic tree mortality models based on ring-width data

Tree mortality is a key process shaping forest dynamics. Thus, there is a growing need for indicators of the likelihood of tree death. During the last decades, an increasing number of tree-ring based ...
JSTOR Daily

REGRESSION TREES FOR LONGITUDINAL AND MULTIRESPONSE DATA

Previous algorithms for constructing regression tree models for longitudinal and multiresponse data have mostly followed the CART approach. Consequently, they inherit the same selection biases and ...
Visual Studio Magazine

Decision Tree Regression from Scratch Using C#

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex (male or female), age, ...
Visual Studio Magazine

AdaBoost Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where the goal is to predict a single numeric value). The ...
Insurancenewsnet.com

Reports from University of Minnesota Describe Recent Advances in Health Insurance (Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random ...

2024 MAY 10 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Fresh data on health insurance are presented in a new report. According to news originating from the ...