Causal inference methods for supporting, understanding, and improving decision-making

Causal inference methods for supporting, understanding, and improving decision-making

<p>Causality and the ability to reason about cause-and-effect relationships are central to decision-making. This thesis contributes to the area of causal inference by proposing new machine learning methods that can be used for supporting, understanding, and improving decision-making, with a fo...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолч:	Bica, I
Бусад зохиолчид:	van der Schaar, M
Формат:	Дипломын ажил
Хэл сонгох:	English
Хэвлэсэн:	2022
Нөхцлүүд:	Machine learning

Ижил төстэй зүйлс

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Large scale methods for kernels, causal inference and survival modelling
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Causal ML: Python package for causal inference machine learning
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Deep learning for causal inference on electronic health records
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Хэвлэсэн: (2023)

Causal evidence in health decision making: methodological approaches of causal inference and health decision science
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Intelligent Agents and Causal Inference: Enhancing Decision-Making through Causal Reasoning
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Flexible and efficient simulation-based inference for models of decision-making
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Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach
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Transfer in sequential decision making
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Causal inference and machine learning in endocrine epidemiology
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Enabling Decision Making with the Modified Causal Forest: Policy Trees for Treatment Assignment
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Application and Prospects of Causal Inference in Microbiological Research
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Хэвлэсэн: (2023-05-01)

Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge
-н: Paola Lecca
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Decision-making support system for diagnosis of oncopathologies by histological images
-н: Anatoliy Dovbysh, зэрэг
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Causality inference of nominal variables: A statistical simulation method
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Transfering Targeted Maximum Likelihood Estimation for Causal Inference into Sports Science
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Causal inference in AI education: A primer
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Improved decision making with similarity based machine learning: applications in chemistry
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Simheuristics Approaches for Efficient Decision-Making Support in Materials Trading Networks
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Causal Inference in Threshold Regression and the Neural Network Extension (TRNN)
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Хэвлэсэн: (2023-04-01)

Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models
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Хэвлэсэн: (2025-01-01)

Understanding approximation for Bayesian inference in neural networks
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Хэвлэсэн: (2022)

Intelligent Decision Support Systems—An Analysis of Machine Learning and Multicriteria Decision-Making Methods
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Хэвлэсэн: (2023-11-01)

Machine learning coupled with causal inference to identify COVID-19 related chemicals that pose a high concern to drinking water
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Хэвлэсэн: (2024-02-01)

Optimization and imitation for pandemic policy and financial decision making
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Detection of Decision-Making Manipulation in the Pairwise Comparison Method
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Хэвлэсэн: (2024-10-01)

Inferring the heterogeneous effect of urban land use on building height with causal machine learning
-н: Yimin Chen, зэрэг
Хэвлэсэн: (2024-12-01)

Causality inference of linearly correlated variables: The statistical simulation and regression method
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Learning and inference over relational data
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Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation
-н: Madhu Yadav, зэрэг
Хэвлэсэн: (2024-06-01)

Application of machine learning approaches in supporting irrigation decision making: A review
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Causal inference with marginal structural modeling for longitudinal data in laparoscopic surgery: A technical note
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Neural networks for inference, inference for neural networks
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Research on a Decision Prediction Method Based on Causal Inference and a Multi-Expert FTOPJUDGE Mechanism
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Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making
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Predicting metabolic syndrome using decision tree and support vector machine methods
-н: Farzaneh Karimi-Alavijeh, зэрэг
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A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach
-н: Amirreza Salehi Amiri, зэрэг
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Deep transfer learning with Bayesian inference
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Evaluating Uses of Deep Learning Methods for Causal Inference
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Хэвлэсэн: (2022-01-01)

Representing storylines with causal networks to support decision making: Framework and example
-н: Taro Kunimitsu, зэрэг
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