Uncertainty guided pruning of classification model tree

No abstract is available for this paper.

• Publication year

  2022

• Venue

  Knowledge-Based Systems

• Publication date

  2022-10-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/j.knosys.2022.110067
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications

  2021cited by this paper
• Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering

  2021cited by this paper
• A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

  2020cited by this paper
• A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

  2020cited by this paper
• Human posture recognition based on multiple features and rule learning

  2020cited by this paper
• XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring

  2020cited by this paper
• Superpixel-enhanced deep neural forest for remote sensing image semantic segmentation

  2020cited by this paper
• An analysis on the relationship between uncertainty and misclassification rate of classifiers

  2020cited by this paper
• Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

  2020cited by this paper
• Model tree pruning

  2019cited by this paper
• Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

  2019cited by this paper
• Hybrid Wavelet-M5 Model Tree for Rainfall-Runoff Modeling

  2019cited by this paper
• Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification

  2018cited by this paper
• Decision tree learning based feature evaluation and selection for image classification

  2017cited by this paper
• What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

  2017cited by this paper
• Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods

  2017cited by this paper
• Overcoming catastrophic forgetting in neural networks

  2016cited by this paper
• Weight Uncertainty in Neural Network

  2015cited by this paper
• Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

  2015cited by this paper
• Learning ELM-Tree from big data based on uncertainty reduction

  2015cited by this paper
• A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning

  2015cited by this paper
• Aleatory or epistemic? Does it matter?

  2009cited by this paper
• An analysis of diversity measures

  2006cited by this paper
• Extreme learning machine: Theory and applications

  2006cited by this paper
• Speeding Up Logistic Model Tree Induction

  2005cited by this paper
• A Review of Missing Data Treatment Methods

  2005cited by this paper
• Logistic Model Trees

  2003cited by this paper
• Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy

  2003cited by this paper
• Data Mining: Practical Machine Learning Tools and Techniques - Book Review

  2002cited by this paper
• Functional Trees

  2001cited by this paper
• Using Model Trees for Classification

  1998cited by this paper
• Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid

  1996cited by this paper
• Fuzzy sets

  1996cited by this paper
• Estimating the mean and variance of the target probability distribution

  1994cited by this paper
• Learning With Continuous Classes

  1992cited by this paper
• On Estimating Probabilities in Tree Pruning

  1991cited by this paper
• Simplifying Decision Trees

  1987cited by this paper
• A Definition of a Nonprobabilistic Entropy in the Setting of Fuzzy Sets Theory

  1972cited by this paper
• Probability measures of Fuzzy events

  1968cited by this paper

• Research on stock prediction of the automobile manufacturing industry and agricultural product processing industry based on the decision tree optimization algorithm

  2025cites this paper
• Enhanced nearest centroid model tree classifier

  2025cites this paper
• Energy utilization of agricultural waste: Machine learning prediction and pyrolysis transformation.

  2024cites this paper
• CrossPrune: Cooperative pruning for camera-LiDAR fused perception models of autonomous driving

  2024cites this paper
• A unified model of data uncertainty and data relation uncertainty

  2023cites this paper
• EXPLORING COMPLEX DECISION TREES: UNVEILING DATA PATTERNS AND OPTIMAL PREDICTIVE POWER

  2023cites this paper