Results 131 to 140 of about 3,566,037 (267)

Tree Structured Interpretable Regression

, 1995
We describe a new method of tree-based regression. The response is estimated by building an adaptive linear model which varies for different paths through the tree.
Tree Structured, David Lubinsky
core  

Estimated mean prediction error, as a percentage of the standard deviation of the response variable, for linear regression and boosted regression tree analysis, across a range of variability levels in sample inclusion probability, using simple random samples (SRS), stratified samples fit without accounting for design weights (Strat), and Inverse Probability Bootstrap sampling (IPB).

, 2015
Estimated mean prediction error, as a percentage of the standard deviation of the response variable, for linear regression and boosted regression tree analysis, across a range of variability levels in sample inclusion probability, using simple random ...
David P. Larsen (763243), Chris E. Jordan (763245), Carol Volk (763244), Matthew Nahorniak (763242)   +3 more
core   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Modeling habitat suitability for the lesser‐known populations of endangered mountain nyala (Tragelaphus buxtoni) in the Arsi and Ahmar Mountains, Ethiopia

Ecology and Evolution
Habitat suitability models have become a valuable tool for wildlife conservation and management, and are frequently used to better understand the range and habitat requirements of rare and endangered species.
Ejigu Alemayehu Worku, Paul H. Evangelista, Anagaw Atickem, Afework Bekele, Jakob Bro‐Jørgensen, Nils Chr. Stenseth   +5 more
doaj   +1 more source

Modelling Eucalyptus globulus spatial distribution in the upper Blue Nile basin using multi spectral Sentinel-2 and environmental data

Heliyon
Eucalyptus plantations are widespread in the highlands of northern Ethiopia. The species has been used for centuries for various purposes. However, there are controversies surrounding the species with excessive soil nutrient and water consumption ...
Abdurohman Yimam, Asnake Mekuriaw, Dessie Assefa, Woldeamlak Bewket   +3 more
doaj   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Three-structured smooth transition regression models based on CART algorithm [PDF]

In the present work, a tree-based model that combines aspects of CART (Classification and Regression Trees) and STR (Smooth Transition Regression) is proposed.
Marcelo C. Medeiros, Álvaro Veiga, Joel Corrêa da Rosa   +2 more
core  

Boosted regression tree model parameters and results for the Antipodes and Kerguelen grey petrel populations, and combined model using data from both populations.

, 2015
dev = Cross-validation per cent deviance explained; AUC = Area under the receiver operator curve; MLD = Mixed layer depth; T0–50 = Mean temperature between 0 and 50 m; Chl = Chlorophyll a concentration; Curr = Surface current velocity magnitude; EKE ...
Henri Weimerskirch (165827), Erica Sommer (699816), Philip J. H. Sutton (699815), Ben J. Dilley (699817), Peter G. Ryan (359387), Richard A. Phillips (150544), Karine Delord (165813), Leigh G. Torres (699814), Paul M. Sagar (364279), David R. Thompson (195599)   +9 more
core   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Evaluating the seasonal impact of urbanisation on surface air temperature in Beijing over three decades: 1990s, 2010s, and 2030s

Environmental Research Communications
Beijing’s rapid urbanisation has driven economic growth and technological advancement while intensifying infrastructure challenges, air quality issues, and temperature rise.
Lidia Lazarova Vitanova, Hiroyuki Kusaka, Quang-Van Doan, Fei Chen, Dessislava Petrova-Antonova, Shyamantha Subasinghe   +5 more
doaj   +1 more source