Classification and Regression Energy Tree for Functional Data
Tree based methods for regression and classification have a long and successful history in statistics and data–analysis and are essentially based on a recursive partition of the covariate space, possibly driven by specific testing procedures design to control branch creation.
openaire +2 more sources
Adoption of e-business: patterns and consequences of network externalities [PDF]
The paper analyzes the adoption of various e-business technologies. Strong empirical evidence is found for the existence of increasing returns to adoption due to indirect network externalities between related technologies.
Schade, Christian, Köllinger, Philipp
core
Using classification and regression trees (CART) to investigate unknown ethnicity records in NHS emergency care data. [PDF]
Dean G, Ruddle RA.
europepmc +1 more source
Classification and regression trees to identify COPD subgroups in clinical trial populations: insights from the IMPACT trial. [PDF]
Regard L +3 more
europepmc +1 more source
Effects of Treatment and Weather Variables on Nocturnal Enuresis: Long-Term Analysis Using the Classification and Regression Trees Model. [PDF]
Onuki Y +11 more
europepmc +1 more source
Comments on Fifty Years of Classification and Regression Trees. [PDF]
Song C, Zhang H.
europepmc +1 more source
Multicenter study on caries risk assessment in adults using survival Classification and Regression Trees. [PDF]
Arino M +4 more
europepmc +1 more source
Classification and Regression Trees analysis identifies patients at high risk for kidney function decline following hospitalization. [PDF]
Wang W +4 more
europepmc +1 more source
Classification and Regression Trees to Predict for Survival for Patients With Hepatocellular Carcinoma Treated With Atezolizumab and Bevacizumab. [PDF]
Brown TJ +4 more
europepmc +1 more source
Morphometric Assessment of Occipital Condyles and Foramen Magnum Reveals Enhanced Sexual Dimorphism Detection via 3D Imaging: A Systematic Review and Meta-Analysis Utilizing Classification and Regression Trees. [PDF]
Tsiouris C +7 more
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