:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Polkowski, Lech T.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2406.13329
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Machine Learning via rough mereology
by: Polkowski, Lech T.
Published: (2024)

Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems
by: Ruddick, Julian, et al.
Published: (2024)

Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
by: Van Calster, Ben, et al.
Published: (2024)

Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment
by: Colwell, Matthew, et al.
Published: (2024)

A note on the VC dimension of 1-dimensional GNNs
by: Daniëls, Noah, et al.
Published: (2024)

Fast hyperboloid decision tree algorithms
by: Chlenski, Philippe, et al.
Published: (2023)

Adaptive digital twins for predictive decision-making: Online Bayesian learning of transition dynamics
by: Varetti, Eugenio, et al.
Published: (2025)

VC dimension of Graph Neural Networks with Pfaffian activation functions
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2024)

On the VC dimension of deep group convolutional neural networks
by: Sepliarskaia, Anna, et al.
Published: (2024)

Mixed-curvature decision trees and random forests
by: Chlenski, Philippe, et al.
Published: (2024)

Feature importance analysis for patient management decisions
by: Valko, Michal, et al.
Published: (2026)

Unified token representations for sequential decision models
by: Tian, Zhuojing, et al.
Published: (2025)

Multicriteria decision support employing adaptive prediction in a tensor-based feature representation
by: Campello, Betania Silva Carneiro, et al.
Published: (2024)

Fairness under uncertainty in sequential decisions
by: Lee, Michelle Seng Ah, et al.
Published: (2026)

Soft decision trees for survival analysis
by: Consolo, Antonio, et al.
Published: (2025)

A novel decision fusion approach for sale price prediction using Elastic Net and MOPSO
by: Chaleshtori, Amir Eshaghi
Published: (2024)

Proper decision trees: An axiomatic framework for solving optimal decision tree problems with arbitrary splitting rules
by: He, Xi, et al.
Published: (2025)

Optimal hypersurface decision trees
by: He, Xi
Published: (2025)

Splitting criteria for ordinal decision trees: an experimental study
by: Ayllón-Gavilán, Rafael, et al.
Published: (2024)

Minimising changes to audit when updating decision trees
by: Simmons, Anj, et al.
Published: (2024)

Planning in entropy-regularized Markov decision processes and games
by: Grill, Jean-Bastien, et al.
Published: (2026)

Generative models for decision-making under distributional shift
by: Cheng, Xiuyuan, et al.
Published: (2026)

Analyzing decision tree bias towards the minority class
by: Phelps, Nathan, et al.
Published: (2025)

Asymptotically optimal regret in communicating Markov decision processes
by: Boone, Victor
Published: (2025)

Imitation learning for clinical decision support in pediatric ECMO
by: Golivand, Fateme, et al.
Published: (2026)

On convex decision regions in deep network representations
by: Tětková, Lenka, et al.
Published: (2023)

Incorporating structural uncertainty in causal decision making
by: Kaptein, Maurits
Published: (2025)

LLM-Cave: A benchmark and light environment for large language models reasoning and decision-making system
by: Li, Huanyu, et al.
Published: (2025)

Online combinatorial optimization with stochastic decision sets and adversarial losses
by: Neu, Gergely, et al.
Published: (2026)

Interpretable clustering via optimal multiway-split decision trees
by: Suzuki, Hayato, et al.
Published: (2026)

Multi-agent decision making: A Blackwell's informativeness approach
by: Zhang, Zheng, et al.
Published: (2026)

Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems
by: Chen, Yuepeng, et al.
Published: (2024)

Industrial brain: a human-like autonomous neuro-symbolic cognitive decision-making system
by: Wang, Junping, et al.
Published: (2025)

A comparative study of decision tree and support vector machine for breast cancer prediction
by: Matthew Idakwo Ogbe, et al.
Published: (2024)

Bayesian preference elicitation for decision support in multiobjective optimization
by: Huber, Felix, et al.
Published: (2025)

Adaptive decision-making for stochastic service network design
by: Durán-Micco, Javier, et al.
Published: (2026)

Joint modeling for learning decision-making dynamics in behavioral experiments
by: Bian, Yuan, et al.
Published: (2025)

Identifiable Latent Bandits: Leveraging observational data for personalized decision-making
by: Balcıoğlu, Ahmet Zahid, et al.
Published: (2024)

ODTE -- An ensemble of multi-class SVM-based oblique decision trees
by: Montañana, Ricardo, et al.
Published: (2024)

Using causal abstractions to accelerate decision-making in complex bandit problems
by: Dyer, Joel, et al.
Published: (2025)