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Artificial Intelligence Causal Inference by Xiong Momiao (32 results)
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Artificial Intelligence and Causal Inference
Published by Taylor & Francis Ltd, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 920.
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Artificial Intelligence and Causal Inference
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 54.75
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Artificial intelligence and causal inference
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
£ 50.88
Convert currency£ 6.64 shipping from U.S.A. to United KingdomQuantity: 4 available
Add to basketCondition: New. First edition Includes bibliographical references and index.
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Artificial Intelligence and Causal Inference (Paperback)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
Paperback. Condition: new. Paperback. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination. Understanding, transfer and generalization are major principles that give rise intelligence. One of a key component for understanding is causal inference. Causal inference includes intervention, domain shift learning, temporal structure and counterfactual thinking as major concepts to understand causation and reasoning. Unfortunately, these essential components of the causality are often overlooked by machine learning, which leads to some failure of the deep learning. AI and causal inference involve (1) using AI techniques as major tools for causal analysis and (2) applying the causal concepts and causal analysis methods to solving AI problems. The purpose of this book is to fill the gap between the AI and modern causal analysis for further facilitating the AI revolution. This book is ideal for graduate students and researchers in AI, data science, causal inference, statistics, genomics, bioinformatics and precision medicine. Key Features:Cover three types of neural networks, formulate deep learning as an optimal control problem and use Pontryagins Maximum Principle for network training.Deep learning for nonlinear mediation and instrumental variable causal analysis.Construction of causal networks is formulated as a continuous optimization problem.Transformer and attention are used to encode-decode graphics. RL is used to infer large causal networks.Use VAE, GAN, neural differential equations, recurrent neural network (RNN) and RL to estimate counterfactual outcomes.AI-based methods for estimation of individualized treatment effect in the presence of network interference. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Artificial Intelligence and Causal Inference
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Artificial Intelligence and Causal Inference
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
£ 50.37
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Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
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Artificial Intelligence and Causal Inference
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
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Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367859408 ISBN 13: 9780367859404
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
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£ 63.40
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Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
Paperback. Condition: Brand New. 394 pages. 11.00x8.25x11.00 inches. In Stock.
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Artificial Intelligence and Causal Inference (Paperback)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
£ 64.06
Convert currency£ 27.30 shipping from Australia to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination. Understanding, transfer and generalization are major principles that give rise intelligence. One of a key component for understanding is causal inference. Causal inference includes intervention, domain shift learning, temporal structure and counterfactual thinking as major concepts to understand causation and reasoning. Unfortunately, these essential components of the causality are often overlooked by machine learning, which leads to some failure of the deep learning. AI and causal inference involve (1) using AI techniques as major tools for causal analysis and (2) applying the causal concepts and causal analysis methods to solving AI problems. The purpose of this book is to fill the gap between the AI and modern causal analysis for further facilitating the AI revolution. This book is ideal for graduate students and researchers in AI, data science, causal inference, statistics, genomics, bioinformatics and precision medicine. Key Features:Cover three types of neural networks, formulate deep learning as an optimal control problem and use Pontryagins Maximum Principle for network training.Deep learning for nonlinear mediation and instrumental variable causal analysis.Construction of causal networks is formulated as a continuous optimization problem.Transformer and attention are used to encode-decode graphics. RL is used to infer large causal networks.Use VAE, GAN, neural differential equations, recurrent neural network (RNN) and RL to estimate counterfactual outcomes.AI-based methods for estimation of individualized treatment effect in the presence of network interference. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Artificial Intelligence and Causal Inference (Paperback)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
£ 61.12
Convert currency£ 36.89 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination. Understanding, transfer and generalization are major principles that give rise intelligence. One of a key component for understanding is causal inference. Causal inference includes intervention, domain shift learning, temporal structure and counterfactual thinking as major concepts to understand causation and reasoning. Unfortunately, these essential components of the causality are often overlooked by machine learning, which leads to some failure of the deep learning. AI and causal inference involve (1) using AI techniques as major tools for causal analysis and (2) applying the causal concepts and causal analysis methods to solving AI problems. The purpose of this book is to fill the gap between the AI and modern causal analysis for further facilitating the AI revolution. This book is ideal for graduate students and researchers in AI, data science, causal inference, statistics, genomics, bioinformatics and precision medicine. Key Features:Cover three types of neural networks, formulate deep learning as an optimal control problem and use Pontryagins Maximum Principle for network training.Deep learning for nonlinear mediation and instrumental variable causal analysis.Construction of causal networks is formulated as a continuous optimization problem.Transformer and attention are used to encode-decode graphics. RL is used to infer large causal networks.Use VAE, GAN, neural differential equations, recurrent neural network (RNN) and RL to estimate counterfactual outcomes.AI-based methods for estimation of individualized treatment effect in the presence of network interference. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367859408 ISBN 13: 9780367859404
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Artificial Intelligence and Causal Inference
Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367859408 ISBN 13: 9780367859404
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 243.
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Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Published by Chapman and Hall/CRC 2022-03-08, 2022
ISBN 10: 0367859408 ISBN 13: 9780367859404
Language: English
Hardcover. Condition: New.
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Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367859408 ISBN 13: 9780367859404
Language: English
Condition: New.
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Artificial Intelligence and Causal Inference
Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367859408 ISBN 13: 9780367859404
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
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Add to basketCondition: New. 2022. 1st Edition. Hardcover. . . . . .
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Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367859408 ISBN 13: 9780367859404
Language: English
£ 143.32
Convert currency£ 6.64 shipping from U.S.A. to United KingdomQuantity: 4 available
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Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367859408 ISBN 13: 9780367859404
Language: English
Hardcover. Condition: Brand New. 424 pages. 11.00x8.25x1.02 inches. In Stock.
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£ 135.52
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Add to basketCondition: New. Momiao Xiong, is a professor in the Department of Biostatistics and Data Science, University of Texas School of Public Health, and a regular member in the Genetics & Epigenetics (G&E) Graduate Program at The University of Texas MD Anderson.
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Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367859408 ISBN 13: 9780367859404
Language: English
£ 156.17
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Artificial Intelligence and Causal Inference
Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367859408 ISBN 13: 9780367859404
Language: English
£ 171.83
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Add to basketCondition: New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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Artificial intelligence and causal inference
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
Condition: New. Print on Demand.
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Artificial Intelligence and Causal Inference
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Artificial intelligence and causal inference
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
£ 54.85
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Add to basketPAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Artificial Intelligence and Causal Inference
Published by Taylor & Francis Ltd, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Momiao Xiong, is a professor in the Department of Biostatistics and Data Science, University of Texas School of Public Health, and a regular member in the Genetics & Epigenetics (G&E) Graduate Program at The University of Texas MD Anderson.
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Artificial Intelligence and Causal Inference
Published by Chapman And Hall/CRC, 2024
ISBN 10: 103219328X ISBN 13: 9781032193281
Language: English
£ 81.03
Convert currency£ 12.10 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination.
