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  • What Every Engineer Should Know About Artificial Intelligence and Big Data : What Every Engineer Should Know - Satish Mahadevan Srinivasan
    What Every Engineer Should Know About Artificial Intelligence and Big Data
    What Every Engineer Should Know
    Satish Mahadevan Srinivasan and Raghvinder S. Sangwan
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  • Research Data that Can Be Trusted : Medicine (R0) - Michael Bouzinier
    Research Data that Can Be Trusted
    Medicine (R0)
    Michael Bouzinier, Dmitry Etin, Naeem Khoshnevis, Max Shad and Scott Yockel
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  • Web and Big Data. APWeb-WAIM 2025 International Workshops : KGMA 2025, SemiBDMA 2025, MADM 2025, AIEDM 2025 and STBDM 2025, Shenyang, China, August 28-30, 2025, Proceedings - Jiajia Li
    Web and Big Data. APWeb-WAIM 2025 International Workshops
    KGMA 2025, SemiBDMA 2025, MADM 2025, AIEDM 2025...
    Jiajia Li, Richard Chbeir, Lei Li, Ye Yuan and Ningning Cui
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  • Econometrics in Theory and Practice : Analysis of Cross Section, Time Series and Panel data with STATA 18 and R - Panchanan Das
    Econometrics in Theory and Practice
    Analysis of Cross Section, Time Series and Pane...
    Panchanan Das
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  • General Audio Signal Processing with Deep Learning : Engineering (R0) - Kele Xu
    General Audio Signal Processing with Deep Learning
    Engineering (R0)
    Kele Xu, Jisheng Bai, Boqing Zhu, Qisheng Xu and Mou Wang
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  • Likelihood and Its Extensions : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Nancy Reid
    Likelihood and Its Extensions
    Chapman & Hall/CRC Monographs on Statistics and...
    Nancy Reid, Cristiano Varin and Grace Y. Yi
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  • Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 28th Iberoamerican Congress, CIARP 2025, Bogota, Colombia, November 25-28, 2025, Proceedings, Part I - Deisy Chaves
    Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
    28th Iberoamerican Congress, CIARP 2025, Bogota...
    Deisy Chaves, Manuel Forero Vargas and Oswaldo Rojas Camacho
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  • Large Language Models for Automatic Deidentification of Sensitive Health Information in Clinical Speech : 2025 International workshop on Deidentification of Electronic Medical Record Notes (2025 IW-DMRN), Taipei, Taiwan, August 10, 2025, Revised Selected Papers - Jitendra Jonnagaddala
    Large Language Models for Automatic Deidentification of Sensitive Health Information in Clinical Speech
    2025 International workshop on Deidentification...
    Jitendra Jonnagaddala, Hong-Jie Dai, Ching-Tai Chen, Yung-Chung Chang and Hui-Hsien Feng
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  • Observability for Large Language Models : Site Reliability and Chaos Engineering for AI at Scale - Ankush Sharma
    Observability for Large Language Models
    Site Reliability and Chaos Engineering for AI a...
    Ankush Sharma
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  • HCI in Business, Government and Organizations : 13th International Conference, HCIBGO 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26-31, 2026, Proceedings, Part I - Fiona Fui-Hoon Nah
    HCI in Business, Government and Organizations
    13th International Conference, HCIBGO 2026, Hel...
    Fiona Fui-Hoon Nah and Keng Leng Siau
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  • HCI in Business, Government and Organizations : 13th International Conference, HCIBGO 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26-31, 2026, Proceedings, Part II - Fiona Fui-Hoon Nah
    HCI in Business, Government and Organizations
    13th International Conference, HCIBGO 2026, Hel...
    Fiona Fui-Hoon Nah and Keng Leng Siau
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  • Regressions in Covariances, Dependencies and Graphs : Chapman & Hall/CRC Texts in Statistical Science - Mohsen Pourahmadi
    Regressions in Covariances, Dependencies and Graphs
    Chapman & Hall/CRC Texts in Statistical Science
    Mohsen Pourahmadi and Aramayis Dallakyan
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  • Gun Violence : The Statistical Issues - Charles Loeffler
    Gun Violence
    The Statistical Issues
    Charles Loeffler, James L. Rosenberger and Lingzhou Xue
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  • Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers : 27th International Conference, AIED 2026, Seoul, South Korea, June 27 - July 3, 2026, Proceedings, Part III - Emmanuel G. Blanchard
    Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers : 27th International Conference, AIED 2026, Seoul, South Korea, June 27 - July 3, 2026, Proceedings, Part I - Emmanuel G. Blanchard
    Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part V - Emmanuel G. Blanchard
    Artificial Intelligence in Education
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part IV - Emmanuel G. Blanchard
    Artificial Intelligence in Education
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part VI - Emmanuel G. Blanchard
    Artificial Intelligence in Education
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part I - Emmanuel G. Blanchard
    Artificial Intelligence in Education
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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    $179.00
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  • Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part III - Emmanuel G. Blanchard
    Artificial Intelligence in Education
    27th International Conference, AIED 2026, Seoul...
    Emmanuel G. Blanchard, Guanliang Chen, Min Chi and Seiji Isotani
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  • An Introduction to Materials Informatics : Advanced Machine Learning - Tongyi Zhang
    An Introduction to Materials Informatics
    Advanced Machine Learning
    Tongyi Zhang
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  • The Analysis of Time Series : An Introduction with R - Haipeng Xing
    The Analysis of Time Series
    An Introduction with R
    Haipeng Xing and Chris Chatfield
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    $141.99
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  • Making Statistics Work : Information Theory and Bayesian Inference - Duncan Foley
    Making Statistics Work
    Information Theory and Bayesian Inference
    Duncan Foley and Ellis Scharfenaker
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  • Formal Models of Divide-and-Conquer Queuing Systems in 5G Infrastructures : Computer Science (R0) - Viacheslav Kovtun
    Formal Models of Divide-and-Conquer Queuing Systems in 5G Infrastructures
    Computer Science (R0)
    Viacheslav Kovtun
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    $259.01
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  • The Splunk Core User Study Companion : Achieve Splunk Enterprise Certified Admin and Gain Architect Essentials - Carlos Moreno Buitrago
    The Splunk Core User Study Companion
    Achieve Splunk Enterprise Certified Admin and G...
    Carlos Moreno Buitrago and Deep Mehta
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  • Optimization-Driven Deep Reinforcement Learning for Wireless Networks : Computer Science (R0) - Shimin Gong
    Optimization-Driven Deep Reinforcement Learning for Wireless Networks
    Computer Science (R0)
    Shimin Gong, Dusit Niyato, Bo Gu and Kaibin Huang
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    $279.00
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  • Does This Treatment Cause That Outcome? : The Science of Estimating a Treatment Effect and Why It Matters - Stephen J. Ruberg
    Does This Treatment Cause That Outcome?
    The Science of Estimating a Treatment Effect an...
    Stephen J. Ruberg
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    $125.39
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  • Statistics for High School Students - MICHAEL NIKOLETSEAS
    Statistics for High School Students
    MICHAEL NIKOLETSEAS
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  • The Leadership Algorithm : What It Takes to Lead in the Age of Data, AI, and Intelligent Systems - Shrey Shivam
    The Leadership Algorithm
    What It Takes to Lead in the Age of Data, AI, a...
    Shrey Shivam
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  • Parallel Problem Solving from Nature - PPSN XIX : 19th International Conference, PPSN 2026, Trento, Italy, August 29 - September 2, 2026, Proceedings, Part IV - Giovanni Iacca
    Parallel Problem Solving from Nature - PPSN XIX
    19th International Conference, PPSN 2026, Trent...
    Giovanni Iacca, Giorgia Nadizar, Anil Yaman, Doina Bucur and Sarah L. Thomson
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  • An Introduction to Stochastic Processes - Jonathon Peterson
    An Introduction to Stochastic Processes
    Jonathon Peterson
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  • Document Analysis and Recognition - ICDAR 2026 : 20th International Conference, Vienna, Austria, August 31 - September 2, 2026, Proceedings, Part IV - Gernot A. Fink
    Document Analysis and Recognition - ICDAR 2026
    20th International Conference, Vienna, Austria,...
    Gernot A. Fink, Alicia Fornés, Koichi Kise and Daniel Lopresti
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  • Document Analysis and Recognition - ICDAR 2026 : 20th International Conference, Vienna, Austria, August 31 - September 2, 2026, Proceedings, Part I - Gernot A. Fink
    Document Analysis and Recognition - ICDAR 2026
    20th International Conference, Vienna, Austria,...
    Gernot A. Fink, Alicia Fornés, Koichi Kise and Daniel Lopresti
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  • Mechanism-Driven Explainable Urban Spatio-Temporal Prediction : Computer Science (R0) - Jingyuan Wang
    Mechanism-Driven Explainable Urban Spatio-Temporal Prediction
    Computer Science (R0)
    Jingyuan Wang and Jiahao Ji
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  • Playing the Odds : A Data-Driven Approach to the North Carolina Cash 5 - Daniel Berberette
    Playing the Odds
    A Data-Driven Approach to the North Carolina Ca...
    Daniel Berberette
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  • Fundamental Statistics for the Social and Behavioral Sciences - Howard T. Tokunaga
    Fundamental Statistics for the Social and Behavioral Sciences
    Howard T. Tokunaga
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  • Bayesian Statistical Methods : Chapman & Hall/CRC Texts in Statistical Science - Brian J. Reich
    Bayesian Statistical Methods
    Chapman & Hall/CRC Texts in Statistical Science
    Brian J. Reich and Sujit K. Ghosh
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  • Mining Complex Networks : Advances in Applied Mathematics - Bogumi? Kami?ski
    Mining Complex Networks
    Advances in Applied Mathematics
    Bogumi? Kami?ski, Pawe? Pra?at and François Théberge
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  • Business Intelligence and Data Analytics : Proceedings of BIDA 2025, Volume 2 - Abhishek Verma
    Business Intelligence and Data Analytics
    Proceedings of BIDA 2025, Volume 2
    Abhishek Verma, Justin Zhang and Avinash Chandra Pandey
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  • Interactive Natural Language Processing : Language Model as Agent - Zekun Wang
    Interactive Natural Language Processing
    Language Model as Agent
    Zekun Wang, Ge Zhang, Chenghua Lin and Jie Fu
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  • Predictive Process Monitoring : Computer Science (R0) - Chiara Di Francescomarino
    Predictive Process Monitoring
    Computer Science (R0)
    Chiara Di Francescomarino, Ivan Donadello and Fabrizio Maria Maggi
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  • Beautiful Security : When Science Meets Cybersecurity - Matthias Muhlert
    Beautiful Security
    When Science Meets Cybersecurity
    Matthias Muhlert
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  • Systems Modelling and Simulation : Second International Symposium, SMS 2026, Putrajaya, Malaysia, May 4-5, 2026, Proceedings - Nurul Adilla Mohd Subha
    Systems Modelling and Simulation
    Second International Symposium, SMS 2026, Putra...
    Nurul Adilla Mohd Subha, Norhaliza Abdul Wahab, Pei Ling Leow, Herman Wahid and Zaharuddin Mohamed
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  • Measure Theory and Integration - Andrea Carpignani
    Measure Theory and Integration
    Andrea Carpignani
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  • Theory of Factorial Experiments : Modern Methods, Applications, and R Implementation - Dilip Kumar Ghosh
    Theory of Factorial Experiments
    Modern Methods, Applications, and R Implementation
    Dilip Kumar Ghosh
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  • Big Data Analytics in Biostatistics and Bioinformatics : Mathematics and Statistics (R0) - Yichuan Zhao
    Big Data Analytics in Biostatistics and Bioinformatics
    Mathematics and Statistics (R0)
    Yichuan Zhao and Ding-Geng Chen
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  • Statistical Hypothesis Testing with Microsoft ® Office Excel ® : Mathematics and Statistics (R0) - Robert Hirsch
    Statistical Hypothesis Testing with Microsoft ® Office Excel ®
    Mathematics and Statistics (R0)
    Robert Hirsch
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  • Algorithms and Architectures for Parallel Processing : 25th International Conference, ICA3PP 2025, Zhengzhou, China, October 30-November 2, 2025, Proceedings, Part IV - Huazhong Liu
    Algorithms and Architectures for Parallel Processing
    25th International Conference, ICA3PP 2025, Zhe...
    Huazhong Liu, Shadi Ibrahim and Thomas Rauber
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  • Soft Computing and Its Engineering Applications : 7th International Conference, icSoftComp 2025, Hanoi, Vietnam, December 9-11, 2025, Proceedings, Part I - Kanubhai K. Patel
    Soft Computing and Its Engineering Applications
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    Kanubhai K. Patel, KC Santosh, Gabriel Gomes de Oliveira, Atul Patel and Ashish Ghosh
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  • Soft Computing and Its Engineering Applications : 7th International Conference, icSoftComp 2025, Hanoi, Vietnam, December 9-11, 2025, Proceedings, Part II - Kanubhai K. Patel
    Soft Computing and Its Engineering Applications
    7th International Conference, icSoftComp 2025, ...
    Kanubhai K. Patel, KC Santosh, Gabriel Gomes de Oliveira, Atul Patel and Ashish Ghosh
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  • Soft Computing and Its Engineering Applications : 7th International Conference, icSoftComp 2025, Hanoi, Vietnam, December 9-11, 2025, Proceedings, Part III - Kanubhai K. Patel
    Soft Computing and Its Engineering Applications
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    Kanubhai K. Patel, KC Santosh, Gabriel Gomes de Oliveira, Atul Patel and Ashish Ghosh
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  • Quantum Robustness in Artificial Intelligence : Principles and Applications - Muhammad Usman
    Quantum Robustness in Artificial Intelligence
    Principles and Applications
    Muhammad Usman
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  • Harvesting Intelligence: The AI Revolution in Agriculture : From Fields to Algorithms, Cultivating Future Harvests - Alka Arora
    Harvesting Intelligence: The AI Revolution in Agriculture
    From Fields to Algorithms, Cultivating Future H...
    Alka Arora, Sudeep Marwaha, Rajni Jain and Rajender Parsad
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  • Machine Learning for Astrophysics 2024 : Proceedings of the 2nd ML4ASTRO International Conference 8-12 July 2024 - Filomena Bufano
    Machine Learning for Astrophysics 2024
    Proceedings of the 2nd ML4ASTRO International C...
    Filomena Bufano, Eva Sciacca and Simone Riggi
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  • Covariance Analysis and Beyond : Mathematics and Statistics (R0) - Wei Lan
    Covariance Analysis and Beyond
    Mathematics and Statistics (R0)
    Wei Lan and Chih-Ling Tsai
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  • Proceedings of the 6th International Conference on Data Science, Machine Learning and Applications, Volume 2 : ICDSMLA 2024, 13-14 December, Tirupati, India - Amit Kumar
    Proceedings of the 6th International Conference on Data Science, Machine Learning and Applications, Volume 2
    ICDSMLA 2024, 13-14 December, Tirupati, India
    Amit Kumar, Vinit Kumar Gunjan, Sabrina Senatore and Yu-Chen Hu
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  • Artificial Intelligence: Theory and Applications : Proceedings of AITA 2025, Volume 2 - Antorweep Chakravorty
    Artificial Intelligence: Theory and Applications
    Proceedings of AITA 2025, Volume 2
    Antorweep Chakravorty, Shahid Hussain and Rajani Kumari
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  • National Meeting of R Users : 3rd R Day Colombia, Medellin, Colombia, November 14, 2025, Proceedings - Biviana M. Suárez
    National Meeting of R Users
    3rd R Day Colombia, Medellin, Colombia, Novembe...
    Biviana M. Suárez, Romario Conto, Freddy Hernández, Olga Usuga and Cristhian Quiroz
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  • Autonomous Driving Handbook : Artificial Intelligence (R0) - Yu Huang
    Autonomous Driving Handbook
    Artificial Intelligence (R0)
    Yu Huang and Zijiang Yang
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  • The Principles of Probability : From Formal Logic to Measure Theory to the Principle of Indifference - Jason Swanson
    The Principles of Probability
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    Jason Swanson
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