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The effect of splitting on random forests

https://doi.org/10.1007/s10994-014-5451-2
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/sam.10103openalex-snapshot
Random survival forests for high‐dimensional data
inferredcites →https://doi.org/10.1007/3-540-45329-6_14openalex-snapshot
A Study on End-Cut Preference in Least Squares Regression Trees
inferredcites →https://doi.org/10.1007/978-1-4612-2856-1openalex-snapshot
Computing Science and Statistics: Statistics of Many Parameters: Curves, Images, Spatial Models
inferredcites →https://doi.org/10.1007/978-1-4612-5254-2openalex-snapshot
Convergence of Stochastic Processes
inferredcites →https://doi.org/10.1007/b97848openalex-snapshot
A Distribution-Free Theory of Nonparametric Regression
inferredcites →https://doi.org/10.1007/bf00117831openalex-snapshot
Technical Note: Some Properties of Splitting Criteria
inferredcites →https://doi.org/10.1007/s10994-006-6226-1openalex-snapshot
Extremely randomized trees
inferredcites →https://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferredcites →https://doi.org/10.1023/a:1007607513941openalex-snapshot
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1080/10485252.2012.677843openalex-snapshot
Variance reduction in purely random forests
inferredcites →https://doi.org/10.1093/biomet/81.3.425openalex-snapshot
Ideal Spatial Adaptation by Wavelet Shrinkage
inferredcites →https://doi.org/10.1175/1520-0493(1950)078<0001:vofeit>2.0.co;2openalex-snapshot
VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
inferredcites →https://doi.org/10.1198/016214505000001230openalex-snapshot
Random Forests and Adaptive Nearest Neighbors
inferredcites →https://doi.org/10.1198/jasa.2009.tm08622openalex-snapshot
High-Dimensional Variable Selection for Survival Data
inferredcites →https://doi.org/10.1214/08-aoas169openalex-snapshot
Random survival forests
inferredcites →https://doi.org/10.1214/aop/1176993860openalex-snapshot
A Law of the Iterated Logarithm for Double Arrays of Independent Random Variables with Applications to Regression and Time Series Models
inferredcites →https://doi.org/10.1214/aos/1031689014openalex-snapshot
Analyzing bagging
inferredcites →https://doi.org/10.1214/aos/1176345206openalex-snapshot
Optimal Rates of Convergence for Nonparametric Estimators
inferredcites →https://doi.org/10.1214/aos/1176347498openalex-snapshot
Cube Root Asymptotics
inferredcites →https://doi.org/10.2307/2288003openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.2307/2371287openalex-snapshot
On the Law of the Iterated Logarithm
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.2307/2553898openalex-snapshot
Convergence of Stochastic Processes.
inferredcites →https://doi.org/10.3414/meopenalex-snapshot
Methods of information in medicine
inferredcites →https://doi.org/10.3414/me00-01-0052openalex-snapshot
Probability Machines
inferredcites →https://doi.org/10.48550/arxiv.1005.0208openalex-snapshot
Analysis of a Random Forests Model

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Rates of convergence for random forests via generalized U-statistics
inferred← citeshttps://doi.org/10.1364/josaa.520664openalex-snapshot
High energy laser propagation through natural convection of air: a benchmark for validation of numerical simulation
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1008518openalex-snapshot
Robust detection of point mutations involved in multidrug-resistant Mycobacterium tuberculosis in the presence of co-occurrent resistance markers
inferred← citeshttps://doi.org/10.1371/journal.pone.0170007openalex-snapshot
Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data Sets
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GradientScanSurv—An exhaustive association test method for gene expression data with censored survival outcome
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CALIBRATION OF THE SCORING MODEL WITHCENSORED DATA
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Forecasting contagion processes on heterogeneous complex networks
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ESSAYS IN ECONOMETRICS: ONLINE LEARNING IN HIGH-DIMENSIONAL CONTEXTS AND TREATMENT EFFECTS WITH COMPLEX AND UNKNOWN ASSIGNMENT RULES
inferred← citeshttps://doi.org/10.17771/pucrio.acad.64761openalex-snapshot
ON MACHINE LEARNING TECHNIQUES TOWARD PATH LOSS MODELING IN 5G AND BEYOND WIRELESS SYSTEMS
inferred← citeshttps://doi.org/10.18632/aging.206146openalex-snapshot
Identification of the m6A/m5C/m1A methylation modification genes in Alzheimer’s disease based on bioinformatic analysis
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Situational forecasting of electricity demand in the region
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1106160/v1openalex-snapshot
Spatial Statistical Machine Learning Models to Assess Health Vulnerabilities in Children
inferred← citeshttps://doi.org/10.2139/ssrn.5387365openalex-snapshot
Derf: Diversity-Enhanced Random Forest for Improved Generalization
inferred← citeshttps://doi.org/10.2139/ssrn.5463464openalex-snapshot
The Role of Machine Learning to Predict Potentially Toxic Elements Remobilisation and Bioaccessibility Change During Flooding
inferred← citeshttps://doi.org/10.2174/1570163817666200806165934openalex-snapshot
Insights into Machine Learning-based Approaches for Virtual Screening in Drug Discovery: Existing Strategies and Streamlining Through FP-CADD
inferred← citeshttps://doi.org/10.21923/jesd.1032191openalex-snapshot
İÇİ BETON DOLU DAİRESEL KESİTLİ ÇELİK BORULARIN EKSENEL YÜK KAPASİTELERİNİN YAPAY SİNİR AĞLARI VE RASSAL ORMAN YÖNTEMLERİ İLE TAHMİNİ
inferred← citeshttps://doi.org/10.2196/69142openalex-snapshot
Toward a Clinically Actionable, Electronic Health Record–Based Machine Learning Model to Forecast 90-Day Change in Hemoglobin A1c in Youth With Type 1 Diabetes: Feasibility and Model Development Study
inferred← citeshttps://doi.org/10.2196/preprints.69142openalex-snapshot
Towards a clinically actionable, electronic health record-based machine learning model to forecast 90-day change in hemoglobin A1c in youth with type 1 diabetes: Feasibility and model development study (Preprint)
inferred← citeshttps://doi.org/10.22283/qbs.2017.36.2.85openalex-snapshot
A Selective Review on Random Survival Forests for High Dimensional Data
inferred← citeshttps://doi.org/10.2903/sp.efsa.2017.en-1254openalex-snapshot
Machine Learning Techniques applied in risk assessment related to food safety
inferred← citeshttps://doi.org/10.3188/szf.2023.s0038openalex-snapshot
Biodiversitäts-Check im Leuchtturm-Waldreservat Sihlwald
inferred← citeshttps://doi.org/10.33564/ijeast.2019.v04i07.041openalex-snapshot
SURVEY ON CLASSIFICATION ENGINE FOR MONETARY TRANSACTIONS
inferred← citeshttps://doi.org/10.3386/w27843openalex-snapshot
Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases
inferred← citeshttps://doi.org/10.3389/fcvm.2026.1964997openalex-snapshot
Association of NT-proBNP/LVEF with angiographic coronary disease burden in acute myocardial infarction: a retrospective study with machine learning analyses
inferred← citeshttps://doi.org/10.3389/fgene.2021.741226openalex-snapshot
Construction and Validation of an Immune Cell Signature Score to Evaluate Prognosis and Therapeutic Efficacy in Hepatocellular Carcinoma
inferred← citeshttps://doi.org/10.3389/fmars.2022.989233openalex-snapshot
Surface ocean CO2 concentration and air-sea flux estimate by machine learning with modelled variable trends
inferred← citeshttps://doi.org/10.3389/fonc.2020.00835openalex-snapshot
Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies
inferred← citeshttps://doi.org/10.3389/fphar.2022.975774openalex-snapshot
Identification of endoplasmic reticulum stress-associated genes and subtypes for prediction of Alzheimer’s disease based on interpretable machine learning
inferred← citeshttps://doi.org/10.3389/fpls.2024.1429976openalex-snapshot
Multi-trait modeling and machine learning discover new markers associated with stem traits in alfalfa
inferred← citeshttps://doi.org/10.3389/fpubh.2022.940182openalex-snapshot
Predictive models for small-for-gestational-age births in women exposed to pesticides before pregnancy based on multiple machine learning algorithms
inferred← citeshttps://doi.org/10.3390/app152111301openalex-snapshot
Leveraging Artificial Intelligence for Predictive Maintenance and Condition Rating of Off-System Bridges
inferred← citeshttps://doi.org/10.3390/bioengineering12030221openalex-snapshot
A Deep Convolution Method for Hypertension Detection from Ballistocardiogram Signals with Heat-Map-Guided Data Augmentation
inferred← citeshttps://doi.org/10.3390/cells12212536openalex-snapshot
Machine Learning Allows for Distinguishing Precancerous and Cancerous Human Epithelial Cervical Cells Using High-Resolution AFM Imaging of Adhesion Maps
inferred← citeshttps://doi.org/10.3390/diagnostics14171866openalex-snapshot
Feature Identification Using Interpretability Machine Learning Predicting Risk Factors for Disease Severity of In-Patients with COVID-19 in South Florida
inferred← citeshttps://doi.org/10.3390/earth6030064openalex-snapshot
Interpretation of a Machine Learning Model for Short-Term High Streamflow Prediction
inferred← citeshttps://doi.org/10.3390/fire5010030openalex-snapshot
Defining Wildfire Susceptibility Maps in Italy for Understanding Seasonal Wildfire Regimes at the National Level
inferred← citeshttps://doi.org/10.3390/hydrology10030067openalex-snapshot
Compound Climate Risk: Diagnosing Clustered Regional Flooding at Inter-Annual and Longer Time Scales
inferred← citeshttps://doi.org/10.3390/ijms24054328openalex-snapshot
Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation
inferred← citeshttps://doi.org/10.3390/math12203190openalex-snapshot
Smooth Sigmoid Surrogate (SSS): An Alternative to Greedy Search in Decision Trees
inferred← citeshttps://doi.org/10.3390/metabo11050326openalex-snapshot
Exploration of Blood Lipoprotein and Lipid Fraction Profiles in Healthy Subjects through Integrated Univariate, Multivariate, and Network Analysis Reveals Association of Lipase Activity and Cholesterol Esterification with Sex and Age
inferred← citeshttps://doi.org/10.3390/plants9030368openalex-snapshot
Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms
inferred← citeshttps://doi.org/10.3390/rs12193265openalex-snapshot
Estimation of Leaf Chlorophyll a, b and Carotenoid Contents and Their Ratios Using Hyperspectral Reflectance
inferred← citeshttps://doi.org/10.3390/rs13152918openalex-snapshot
Machine Learning Regression Analysis for Estimation of Crop Emergence Using Multispectral UAV Imagery
inferred← citeshttps://doi.org/10.3390/rs13214249openalex-snapshot
Characterizing Leaf Nutrients of Wetland Plants and Agricultural Crops with Nonparametric Approach Using Sentinel-2 Imagery Data
inferred← citeshttps://doi.org/10.3390/s23115220openalex-snapshot
Global Stress Detection Framework Combining a Reduced Set of HRV Features and Random Forest Model
inferred← citeshttps://doi.org/10.3390/smartcities6040083openalex-snapshot
An Incident Detection Model Using Random Forest Classifier
inferred← citeshttps://doi.org/10.3748/wjg.v31.i8.102071openalex-snapshot
Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study
inferred← citeshttps://doi.org/10.48550/arxiv.1503.06388openalex-snapshot
Adaptive Concentration of Regression Trees, with Application to Random Forests
inferred← citeshttps://doi.org/10.48550/arxiv.1901.08814openalex-snapshot
Empowering individual trait prediction using interactions
inferred← citeshttps://doi.org/10.48550/arxiv.1905.10651openalex-snapshot
Asymptotic Distributions and Rates of Convergence for Random Forests via Generalized U-statistics
inferred← citeshttps://doi.org/10.48550/arxiv.2001.04295openalex-snapshot
Trees, forests, and impurity-based variable importance
inferred← citeshttps://doi.org/10.48550/arxiv.2004.01411openalex-snapshot
Targeting predictors in random forest regression
inferred← citeshttps://doi.org/10.48550/arxiv.2202.03688openalex-snapshot
Is interpolation benign for random forest regression?
inferred← citeshttps://doi.org/10.5194/hess-30-289-2026openalex-snapshot
High resolution monthly precipitation isotope estimates across Australia from machine learning
inferred← citeshttps://doi.org/10.5204/thesis.eprints.248930openalex-snapshot
Integrating machine learning and Bayesian statistics in spatial small area analysis: Methods and application
inferred← citeshttps://doi.org/10.5753/kdmile.2023.232763openalex-snapshot
Evaluating Strategies to Predict Student Dropout of a Bachelor's Degree in Computer Science
inferred← citeshttps://doi.org/10.6084/m9.figshare.14059359openalex-snapshot
Additional file 10 of Empowering individual trait prediction using interactions for precision medicine
inferred← citeshttps://doi.org/10.6084/m9.figshare.14059362openalex-snapshot
Additional file 11 of Empowering individual trait prediction using interactions for precision medicine
inferred← citeshttps://doi.org/10.6084/m9.figshare.14059365openalex-snapshot
Additional file 12 of Empowering individual trait prediction using interactions for precision medicine
inferred← citeshttps://doi.org/10.6084/m9.figshare.14059368openalex-snapshot
Additional file 13 of Empowering individual trait prediction using interactions for precision medicine
inferred← citeshttps://doi.org/10.6084/m9.figshare.14059371openalex-snapshot
Additional file 14 of Empowering individual trait prediction using interactions for precision medicine
inferred← citeshttps://doi.org/10.6084/m9.figshare.14059374openalex-snapshot
Additional file 15 of Empowering individual trait prediction using interactions for precision medicine
inferred← citeshttps://doi.org/10.6084/m9.figshare.14059377openalex-snapshot
Additional file 16 of Empowering individual trait prediction using interactions for precision medicine
inferred← citeshttps://doi.org/10.6084/m9.figshare.14059383openalex-snapshot
Additional file 17 of Empowering individual trait prediction using interactions for precision medicine
inferred← citeshttps://doi.org/10.6084/m9.figshare.14059386openalex-snapshot
Additional file 18 of Empowering individual trait prediction using interactions for precision medicine
inferred← citeshttps://doi.org/10.6084/m9.figshare.14059389openalex-snapshot
Additional file 19 of Empowering individual trait prediction using interactions for precision medicine
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