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  • Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies - Daniel P. McGibney
    Applied Linear Regression for Business Analytics with R
    A Practical Guide to Data Science with Case Stu...
    Daniel P. McGibney
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    $134.75
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  • Introductory Applied Statistics : With Resampling Methods & R - Bruce Blaine
    Introductory Applied Statistics
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    Algorithmic Intelligence
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    Stefan Edelkamp
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  • Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling : Theory and Applications - Tanmoy Som
    Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling
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    Tanmoy Som, Oscar Castillo and Anoop Kumar Tiwari
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  • Genetic Algorithms : Principles and Perspectives : A Guide to GA Theory - Colin R. Reeves
    Genetic Algorithms
    Principles and Perspectives : A Guide to GA Theory
    Colin R. Reeves and Jonathan E. Rowe
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    A GUIDE TO SPSS/PC+ 1ED
    N. FRUDE
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    Bayesian Forecasting and Dynamic Models
    Mike West and Jeff Harrison
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  • Fundamentals of Reinforcement Learning - Rafael Ris-Ala
    Fundamentals of Reinforcement Learning
    Rafael Ris-Ala
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    Measurement, Mathematics and New Quantification Theory
    Shizuhiko Nishisato
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  • What a Coincidence! : On Unpredictability, Complexity and the Nature of Time - Bernhard Wessling
    What a Coincidence!
    On Unpredictability, Complexity and the Nature ...
    Bernhard Wessling
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    $118.99
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  • Reinforcement Learning for Sequential Decision and Optimal Control - Shengbo Eben Li
    Reinforcement Learning for Sequential Decision and Optimal Control
    Shengbo Eben Li
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  • Stochastic Volatility and Realized Stochastic Volatility Models - Makoto Takahashi
    Stochastic Volatility and Realized Stochastic Volatility Models
    Makoto Takahashi, Yasuhiro Omori and Toshiaki Watanabe
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  • Digital Twin Driven Intelligent Systems and Emerging Metaverse - Enis Karaarslan
    Digital Twin Driven Intelligent Systems and Emerging Metaverse
    Enis Karaarslan, Ã?mer Aydin and Ã?mit Cali
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  • Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways - Zhigang Liu
    Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
    Zhigang Liu, Wenqiang Liu and Junping Zhong
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  • Statistical Inference Based on Kernel Distribution Function Estimators - Rizky Reza Fauzi
    Statistical Inference Based on Kernel Distribution Function Estimators
    Rizky Reza Fauzi and Yoshihiko Maesono
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  • Safety in the Digital Age : Sociotechnical Perspectives on Algorithms and Machine Learning - Jean-Christophe Le Coze
    Safety in the Digital Age
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    Jean-Christophe Le Coze and Stian Antonsen
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    ANOVA with Dependent Errors
    Yuichi Goto, Hideaki Nagahata and Masanobu Taniguchi
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    Machine Learning under Malware Attack
    Raphael Labaca-Castro
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    Application of Machine Learning Models in Agricultural and Meteorological Sciences
    Mohammad Ehteram, Akram Seifi and Fatemeh Barzegari Banadkooki
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  • Procedural Content Generation via Machine Learning : An Overview - Matthew Guzdial
    Procedural Content Generation via Machine Learning
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    Matthew Guzdial, Sam Snodgrass and Adam J. Summerville
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  • Advances in Swarm Intelligence : 14th International Conference, ICSI 2023, Shenzhen, China, July 14-18, 2023, Proceedings, Part II - Ying Tan
    Advances in Swarm Intelligence
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    Ying Tan, Yuhui Shi and Wenjian Luo
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  • AI-ML for Decision and Risk Analysis : Challenges and Opportunities for Normative Decision Theory - Louis Anthony Cox Jr.
    AI-ML for Decision and Risk Analysis
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    Louis Anthony Cox Jr.
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    Remote Sensing Big Data
    Liping Di and Eugene Yu
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  • Deep Learning Theory and Applications : 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings - Donatello Conte
    Deep Learning Theory and Applications
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    Donatello Conte, Ana Fred and Oleg Gusikhin
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  • Proceedings of the 8th International Conference on the Applications of Science and Mathematics : SCIEMATHIC 2022; 17-19 Oct; Malaysia - Aida Mustapha
    Proceedings of the 8th International Conference on the Applications of Science and Mathematics
    SCIEMATHIC 2022; 17-19 Oct; Malaysia
    Aida Mustapha, Norzuria Ibrahim and Hatijah Basri
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    Telegraph Processes and Option Pricing
    Nikita Ratanov and Alexander D. Kolesnik
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    Machine Learning for Advanced Functional Materials
    Nirav Joshi, Vinod Kushvaha and Priyanka Madhushri
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    Mixed-Effects Models and Small Area Estimation
    Shonosuke Sugasawa and Tatsuya Kubokawa
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    Transparency and Interpretability for Learned Representations of Artificial Neural Networks
    Richard Meyes
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    Machine Learning Safety
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  • Principal Component Analysis and Randomness Test for Big Data Analysis : Practical Applications of RMT-Based Technique - Mieko Tanaka-Yamawaki
    Principal Component Analysis and Randomness Test for Big Data Analysis
    Practical Applications of RMT-Based Technique
    Mieko Tanaka-Yamawaki and Yumihiko Ikura
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    Paradigms of Smart and Intelligent Communication, 5G and Beyond
    Amrita Rai, Dinesh Kumar Singh and Amit Sehgal
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    Bayesian Statistical Modeling with Stan, R, and Python
    Kentaro Matsuura
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    Quantum Probability - Quantum Logic
    Itamar Pitowsky
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    Semigroups, Boundary Value Problems and Markov Processes
    Kazuaki Taira
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    Transformation of Measure on Wiener Space
    A.Süleyman �stünel and Moshe Zakai
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  • Proceedings of the 5th International Symposium for Intelligent Transportation and Smart City (ITASC) : Branch of the International Symposium on Autonomous Decentralized Systems (ISADS) 2023 - Xiaoqing Zeng
    Proceedings of the 5th International Symposium for Intelligent Transportation and Smart City (ITASC)
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    Xiaoqing Zeng, Xiongyao Xie and Jian Sun
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    Interest-Rate Management
    Rudi Zagst
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    Stochastic Numerics for Mathematical Physics
    Grigori Noah Milstein and Michael V. Tretyakov
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  • Computer Vision - ECCV 2022 Workshops : Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part IV - Leonid Karlinsky
    Computer Vision - ECCV 2022 Workshops
    Tel Aviv, Israel, October 23-27, 2022, Proceedi...
    Leonid Karlinsky, Tomer Michaeli and Ko Nishino
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  • Diabetic Foot Ulcers Grand Challenge : Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings - Moi Hoon Yap
    Diabetic Foot Ulcers Grand Challenge
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    Moi Hoon Yap, Connah Kendrick and Bill Cassidy
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    Computer Vision - ECCV 2022 Workshops
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    Leonid Karlinsky, Tomer Michaeli and Ko Nishino
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  • Computational Linguistics and Intelligent Text Processing : 20th International Conference, CICLing 2019, La Rochelle, France, April 7-13, 2019, Revised Selected Papers, Part I - Alexander Gelbukh
    Computational Linguistics and Intelligent Text Processing
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    Alexander Gelbukh
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    Computational Linguistics and Intelligent Text Processing
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    Alexander Gelbukh
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    Geostatistics Toronto 2021
    Quantitative Geology and Geostatistics
    Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz and R. Mohan Srivastava
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  • Web and Big Data : 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part III - Bohan Li
    Web and Big Data
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    Bohan Li, Lin Yue and Chuanqi Tao
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  • Web and Big Data : 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part II - Bohan Li
    Web and Big Data
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    Bohan Li, Lin Yue and Chuanqi Tao
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  • Mathematical Methods for Engineering and Science - Merle C. Potter
    Mathematical Methods for Engineering and Science
    Merle C. Potter and Brian F. Feeny
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  • An Approach to Multi-agent Systems as a Generalized Multi-synchronization Problem - Rafael Martínez-Guerra
    An Approach to Multi-agent Systems as a Generalized Multi-synchronization Problem
    Rafael Martínez-Guerra and Juan Pablo Flores-Flores
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  • Shallow and Deep Learning Principles : Scientific, Philosophical, and Logical Perspectives - Zekâi ?en
    Shallow and Deep Learning Principles
    Scientific, Philosophical, and Logical Perspect...
    Zekâi ?en
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  • Emerging Smart Technologies for Critical Infrastructure - Shantanu Pal
    Emerging Smart Technologies for Critical Infrastructure
    Shantanu Pal, Zahra Jadidi and Ernest Foo
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    $134.75
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  • Artificial Intelligence in Music, Sound, Art and Design : 12th International Conference, EvoMUSART 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings - Colin Johnson
    Artificial Intelligence in Music, Sound, Art and Design
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    Colin Johnson, Nereida Rodríguez-Fernández and Sérgio M. Rebelo
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  • Data Fabric and Data Mesh Approaches with AI : A Guide to AI-based Data Cataloging, Governance, Integration, Orchestration, and Consumption - Eberhard Hechler
    Data Fabric and Data Mesh Approaches with AI
    A Guide to AI-based Data Cataloging, Governance...
    Eberhard Hechler, Maryela Weihrauch and Yan (Catherine) Wu
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  • Fundamentals of Queueing Networks : Performance, Asymptotics, and Optimization - Hong Chen
    Fundamentals of Queueing Networks
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    Hong Chen and David D. Yao
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  • Advanced Hybrid Information Processing : 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II - Weina Fu
    Advanced Hybrid Information Processing
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    Weina Fu and Lin Yun
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  • Bayesian Tensor Decomposition for Signal Processing and Machine Learning : Modeling, Tuning-Free Algorithms, and Applications - Lei Cheng
    Bayesian Tensor Decomposition for Signal Processing and Machine Learning
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    Lei Cheng, Zhongtao Chen and Yik-Chung Wu
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  • Statistics for Clinicians : How Much Should a Doctor Know? - Ahmed Hassouna
    Statistics for Clinicians
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    Ahmed Hassouna
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    Neural Networks and Deep Learning
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    Charu C. Aggarwal
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    An Introduction to Cellular Network Analysis Using Stochastic Geometry
    Jeffrey G. Andrews, Abhishek K. Gupta and Ahmad Alammouri
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  • Foundations of Modern Statistics : Festschrift in Honor of Vladimir Spokoiny, Berlin, Germany, November 6-8, 2019, Moscow, Russia, November 30, 2019 - Denis Belomestny
    Foundations of Modern Statistics
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    Denis Belomestny, Cristina Butucea and Enno Mammen
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  • A Unifying Framework for Formal Theories of Novelty : Discussions, Guidelines, and Examples for Artificial Intelligence - Terrance Boult
    A Unifying Framework for Formal Theories of Novelty
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    Terrance Boult and Walter Scheirer
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    A Primer on Generative Adversarial Networks
    Sanaa Kaddoura
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    High Performance Computing in Clouds
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    Edson Borin, Lúcia Maria A. Drummond and Jean-Luc Gaudiot
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  • Automated Analysis of the Oximetry Signal to Simplify the Diagnosis of Pediatric Sleep Apnea : From Feature-Engineering to Deep-Learning Approaches - Fernando Vaquerizo Villar
    Automated Analysis of the Oximetry Signal to Simplify the Diagnosis of Pediatric Sleep Apnea
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    Fernando Vaquerizo Villar
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  • Learning in the Absence of Training Data - Dalia Chakrabarty
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