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Decision trees

This entry describes the value of and methods for using decision trees within the social sciences. An overview of the basic theory behind decision trees coupled with a summary of binary, multi-way, robust, and optimal decision tree algorithms support ...
Srour, F. Jordan
core   +1 more source

Transcription Factor Promiscuity Drives Regulatory Rewiring and Evolvability in Gene Networks in Bacteria

Advanced Science, EarlyView.
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley   +1 more source

Efficient Decision Trees for Tensor Regressions. [PDF]

J Comput Graph Stat
Luo H, Horiguchi A, Ma L.
europepmc   +1 more source

Identifying relapse predictors in individual participant data with decision trees. [PDF]

BMC Psychiatry, 2023
Böttcher L, Breedvelt JJF, Warren FC, Segal Z, Kuyken W, Bockting CLH.   +5 more
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Early identification of difficult-to-manage axial spondyloarthritis using machine-learning decision trees. [PDF]

Ther Adv Musculoskelet Dis
Juárez-García M, Plasencia-Rodríguez C, Benavent D, Díaz-Almirón M, Novella-Navarro M, Tornero C, Peiteado D, Juanola X, Moreno M, de Miguel E, Gratacós J, Navarro-Compán V.   +11 more
europepmc   +1 more source

On the integration of decision trees with mixture cure model. [PDF]

Stat Med, 2023
Aselisewine W, Pal S.
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Navigating the Waters: Decision Trees for Optimal Fish Consumption Guidelines. [PDF]

ACS Environ Au
Fleming KJ, Ruffo D, Murphy S, Buell MC.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source