Scientific Research Publishing

Breiman, L., Friedman, J.H. and Olshen, R.A. (1984) Classification and Regression Trees. Chapman and Hall/CRC.

ABSTRACT: A binary complete decision table with many-valued decisions is a table with n attributes and 2 n pairwise distinct rows filled with numbers from the set { 0,1 } . Each row of this table is ...
Frontiers

Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and ...

1 Department of Critical Care Medicine, Harrison International Peace Hospital, Hengshui, China 2 Graduate College, Hebei Medical University, Shijiazhuang, China Objective: Investigate the correlation ...
C&EN

From Reaction Stoichiometry to Life Cycle Assessment: Decision Tree-Based Estimation Tool

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...
The Conversation

The move toward AI deregulation could put financial markets at risk

Sana Ramzan does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
Scientific Research Publishing

Breiman, L., Friedman, J., Olshen, R.A. and Stone, C.J. (1984) Classification and Regression Trees. Chapman and Hall/CRC.

ABSTRACT: This study investigates the use of a decision tree classification model, combined with Principal Component Analysis (PCA), to distinguish between Assam and Bhutan ethnic groups based on ...
Frontiers

Fifty years of land use and land cover mapping in the United Arab Emirates: a machine learning approach using Landsat satellite data

This study analyses the spatiotemporal distribution of land use and land cover (LULC) in the United Arab Emirates (UAE) over the past 50 years (1972–2021) using 72 multi-temporal Landsat satellite ...
IEEE

Hard Drive Failure Prediction Using Classification and Regression Trees

Abstract: Some statistical and machine learning methods have been proposed to build hard drive prediction models based on the SMART attributes, and have achieved good prediction performance. However, ...
IEEE

Use of classification and regression trees (CART) to classify remotely-sensed digital images

Abstract: Binary tree-structured rules can be viewed in terms of repeated splits of subsets of the feature space into two descendant subsets, starting from the entire feature space and ending in a ...