Results 21 to 30 of about 79,652 (190)
, 2005 Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and numeric values.
Hall, Mark A. +2 more
core +1 more source
Claim Watching and Individual Claims Reserving Using Classification and Regression Trees
Risks, 2019 We present an approach to individual claims reserving and claim watching in general insurance based on classification and regression trees (CART). We propose a compound model consisting of a frequency section, for the prediction of events concerning ...
Massimo De Felice, Franco Moriconi
doaj +1 more source
Machine condition prognosis based on regression trees and one-step-ahead prediction [PDF]
, 2008 Predicting the degradation of working conditions of machinery and trending of fault propagation before they reach the alarm or failure threshold is extremely important in industry to fully utilize the machine production capacity.
Yang, Bo-Suk +5 more
core +1 more source
Air Quality Forecast by Statistical Methods: Application to Portugal and Macao
Frontiers in Big Data, 2022 Air pollution is a major concern issue for most countries in the world. In Portugal and Macao, the values of nitrogen dioxide (NO2), particulate matter (PM) and ozone (O3) are frequently above the concentration thresholds accepted as “good air quality ...
Luísa Mendes +4 more
doaj +1 more source
Influencing Elections with Statistics: Targeting Voters with Logistic Regression Trees [PDF]
, 2012 Political campaigning has become a multi-million dollar business. A substantial proportion of a campaign's budget is spent on voter mobilization, i.e., on identifying and influencing as many people as possible to vote.
Jank, Wolfgang +4 more
core +1 more source
A classification and regression tree algorithm for heart disease modeling and prediction
Healthcare Analytics, 2023 Heart disease remains the leading cause of death, such that nearly one-third of all deaths worldwide are estimated to be caused by heart-related conditions.
Mert Ozcan, Serhat Peker
doaj +1 more source
Classification and regression trees
WIREs Data Mining and Knowledge Discovery, 2011 Abstract Classification and regression trees are machine‐learning methods for constructing prediction models from data. The models are obtained by recursively partitioning the data space and fitting a simple prediction model within each partition.
openaire +5 more sources
Journal of Numerical Cognition, 2017 Many children struggle to successfully acquire early mathematics skills. Theoretical and empirical evidence has pointed to deficits in domain-specific skills (e.g., non-symbolic mathematics skills) or domain-general skills (e.g., executive functioning ...
David J. Purpura +3 more
doaj +1 more source
Inducing decision trees with an ant colony optimization algorithm [PDF]
, 2012 Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B. +2 more
core +1 more source
Building Model for Crime Pattern Analysis Through Machine Learning Using Predictive Analytics
International Journal of Science, Technology, Engineering and Mathematics, 2022 Crime has a big impact in both the human lives and the society’s growth, which needs to be addressed and controlled. Machine learning algorithms as the fanciest technology to assist decision makers in policy making has proven its reliability in showing ...
Jonard R. Asor +3 more
doaj +1 more source