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  • Efficient Execution of Irregular Dataflow Graphs : Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra - Nimish Shah
    Efficient Execution of Irregular Dataflow Graphs
    Hardware/Software Co-optimization for Probabili...
    Nimish Shah, Wannes Meert and Marian Verhelst
    Paperback
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  • Mathematical Principles of Topological and Geometric Data Analysis - Parvaneh Joharinad
    Mathematical Principles of Topological and Geometric Data Analysis
    Parvaneh Joharinad and Jürgen Jost
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  • Applied Stochastic Modeling - Liliana Blanco-Castañeda
    Applied Stochastic Modeling
    Liliana Blanco-Castañeda and Viswanathan Arunachalam
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  • Business Intelligence : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19-21, 2023, Proceedings - Rachid El Ayachi
    Business Intelligence
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    Rachid El Ayachi, Mohamed Fakir and Mohamed Baslam
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    $130.75
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  • Data Driven Model Learning for Engineers : With Applications to Univariate Time Series - Guillaume Mercère
    Data Driven Model Learning for Engineers
    With Applications to Univariate Time Series
    Guillaume Mercère
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    $130.75
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  • Statistics of Random Processes II : Applications - Robert S. Liptser
    Statistics of Random Processes II
    Applications
    Robert S. Liptser, Albert N. Shiryaev and A.B. Aries
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    $130.75
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  • Neural Information Processing : 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part I - Mohammad Tanveer
    Neural Information Processing
    29th International Conference, ICONIP 2022, Vir...
    Mohammad Tanveer, Sonali Agarwal and Seiichi Ozawa
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  • Neural Information Processing : 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part III - Mohammad Tanveer
    Neural Information Processing
    29th International Conference, ICONIP 2022, Vir...
    Mohammad Tanveer, Sonali Agarwal and Seiichi Ozawa
    Paperback
    $130.75
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  • Renewable Energy Optimization, Planning and Control : Proceedings of ICRTE 2022 - Anita Khosla
    Renewable Energy Optimization, Planning and Control
    Proceedings of ICRTE 2022
    Anita Khosla and Mohan Kolhe
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    $130.75
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  • Ensemble Methods in Data Mining : Improving Accuracy Through Combining Predictions - Giovanni Seni
    Ensemble Methods in Data Mining
    Improving Accuracy Through Combining Predictions
    Giovanni Seni and John Elder
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  • Select Ideas in Partial Differential Equations - Peter J Costa
    Select Ideas in Partial Differential Equations
    Peter J Costa
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    $130.75
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  • Fixed Point Theory in Probabilistic Metric Spaces - O. Hadzic
    Fixed Point Theory in Probabilistic Metric Spaces
    O. Hadzic and E. Pap
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  • Theory of U-Statistics - Vladimir S. Korolyuk
    Theory of U-Statistics
    Vladimir S. Korolyuk and Y.V. Borovskich
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    Sampled-data Control of Logical Networks
    Yang Liu, Jianquan Lu and Liangjie Sun
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    Machine Learning Techniques for Cybersecurity
    Elisa Bertino, Sonam Bhardwaj and Fabrizio Cicala
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  • Biomedical and Computational Biology : Second International Symposium, BECB 2022, Virtual Event, August 13-15, 2022, Revised Selected Papers - Shiping Wen
    Biomedical and Computational Biology
    Second International Symposium, BECB 2022, Virt...
    Shiping Wen and Cihui Yang
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    Machine Learning and Deep Learning in Computational Toxicology
    Huixiao Hong
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  • Quantum and Stochastic Mathematical Physics : Sergio Albeverio, Adventures of a Mathematician, Verona, Italy, March 25-29, 2019 - Astrid Hilbert
    Quantum and Stochastic Mathematical Physics
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    Astrid Hilbert, Elisa Mastrogiacomo and Sonia Mazzucchi
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  • Stochastic Partial Differential Equations in Fluid Mechanics - Franco Flandoli
    Stochastic Partial Differential Equations in Fluid Mechanics
    Franco Flandoli and Eliseo Luongo
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    Statistical Methods for Data Analysis
    With Applications in Particle Physics
    Luca Lista
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    Streaming Linked Data
    From Vision to Practice
    Riccardo Tommasini, Pieter Bonte and Fabiano Spiga
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    Discrete Choice Analysis with R
    Antonio Páez and Geneviève Boisjoly
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  • Applied Functional Data Analysis : Methods and Case Studies - J.O. Ramsay
    Applied Functional Data Analysis
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    J.O. Ramsay and B.W. Silverman
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  • Stochastic Modeling in Economics and Finance - Jitka Dupacova
    Stochastic Modeling in Economics and Finance
    Jitka Dupacova, J. Hurt and J. Stepan
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  • Stability Problems for Stochastic Models : Proceedings of the 8th International Seminar held in Uzhgorod, USSR, Sept. 23-29, 1984 - Vladimir V. Kalashnikov
    Stability Problems for Stochastic Models
    Proceedings of the 8th International Seminar he...
    Vladimir V. Kalashnikov and Vladimir M. Zolotarev
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    Probability Models for DNA Sequence Evolution
    Rick Durrett
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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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    Introductory Applied Statistics
    With Resampling Methods & R
    Bruce Blaine
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  • Algorithmic Intelligence : Towards an Algorithmic Foundation for Artificial Intelligence - Stefan Edelkamp
    Algorithmic Intelligence
    Towards an Algorithmic Foundation for Artificia...
    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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    $130.75
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    Fundamentals of Reinforcement Learning
    Rafael Ris-Ala
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    $130.75
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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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  • 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, 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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    $130.75
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    Measure-Valued Branching Markov Processes
    Zenghu Li
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    $130.75
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  • Metaheuristics for Machine Learning : New Advances and Tools - Mansour Eddaly
    Metaheuristics for Machine Learning
    New Advances and Tools
    Mansour Eddaly, Bassem Jarboui and Patrick Siarry
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  • Recent Developments in Statistics and Data Science : SPE2021, vora, Portugal, October 13-16 - Regina Bispo
    Recent Developments in Statistics and Data Science
    SPE2021, vora, Portugal, October 13-16
    Regina Bispo, Lígia Henriques-Rodrigues and Russell Alpizar-Jara
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    Machine Learning and Artificial Intelligence
    Ameet V Joshi
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    Trends and Challenges in Categorical Data Analysis
    Statistical Modelling and Interpretation
    Maria Kateri and Irini Moustaki
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  • Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023 - Nabendu Chaki
    Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023
    Nabendu Chaki, Nilanjana Dutta Roy and Papiya Debnath
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    $130.75
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  • Geological and Geostatistical Aquifer Characterization of Wajid Sandstone, Saudi Arabia - Osman Abdullatif
    Geological and Geostatistical Aquifer Characterization of Wajid Sandstone, Saudi Arabia
    Osman Abdullatif, Mohammad Makkawi and Mohamed Yassin
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  • Selective Maintenance Modelling and Optimization : Basic Methods and Some Recent Advances - Yu Liu
    Selective Maintenance Modelling and Optimization
    Basic Methods and Some Recent Advances
    Yu Liu, Hong-Zhong Huang and Tao Jiang
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    $130.75
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  • Computer Vision and Machine Learning in Agriculture, Volume 3 - Jagdish Chand Bansal
    Computer Vision and Machine Learning in Agriculture, Volume 3
    Jagdish Chand Bansal and Mohammad Shorif Uddin
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    $130.75
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  • Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers : 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers - Oscar Camara
    Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers
    13th International Workshop, STACOM 2022, Held ...
    Oscar Camara, Esther Puyol-Antón and Chen Qin
    Paperback
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  • Ten Projects in Applied Statistics - Peter McCullagh
    Ten Projects in Applied Statistics
    Peter McCullagh
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    $130.75
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  • Data Mining : 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings - Laurence A. F. Park
    Data Mining
    20th Australasian Conference, AusDM 2022, Weste...
    Laurence A. F. Park, Heitor Murilo Gomes and Maryam Doborjeh
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  • Information Retrieval in Bioinformatics : A Practical Approach - Soumi Dutta
    Information Retrieval in Bioinformatics
    A Practical Approach
    Soumi Dutta and Saikat Gochhait
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  • New Frontiers in Bayesian Statistics : BAYSM 2021, Online, September 1-3 - Raffaele Argiento
    New Frontiers in Bayesian Statistics
    BAYSM 2021, Online, September 1-3
    Raffaele Argiento, Federico Camerlenghi and Sally Paganin
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    Representation in Machine Learning
    M. N. Murty and M. Avinash
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  • Statistical Analysis of Extreme Values : from Insurance, Finance, Hydrology and Other Fields - Rolf-Dieter Reiss
    Statistical Analysis of Extreme Values
    from Insurance, Finance, Hydrology and Other Fi...
    Rolf-Dieter Reiss and Michael Thomas
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  • Predictive Analytics in Cloud, Fog, and Edge Computing : Perspectives and Practices of Blockchain, IoT, and 5G - Hiren Kumar Thakkar
    Predictive Analytics in Cloud, Fog, and Edge Computing
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    Hiren Kumar Thakkar, Chinmaya Kumar Dehury and Prasan Kumar Sahoo
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  • Software Verification and Formal Methods for ML-Enabled Autonomous Systems : 5th International Workshop, FoMLAS 2022, and 15th International Workshop, NSV 2022, Haifa, Israel, July 31 - August 1, and August 11, 2022, Proceedings - Omri Isac
    Software Verification and Formal Methods for ML-Enabled Autonomous Systems
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    Omri Isac, Radoslav Ivanov and Guy Katz
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  • Machine Learning in Medical Imaging : 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings - Chunfeng Lian
    Machine Learning in Medical Imaging
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    Studies in Theoretical and Applied Statistics
    SIS 2021, Pisa, Italy, June 21-25
    Nicola Salvati, Cira Perna and Stefano Marchetti
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    Fiber Bundles
    Statistical Models and Applications
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    The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III
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    Dan Gabriel Cacuci
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    Statistical Extremes and Applications
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    Statistical Learning Theory and Stochastic Optimization
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    Olivier Catoni and Jean Picard
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  • Ecole d'Ete de Probabilites de Saint-Flour XXI - 1991 - Donald A. Dawson
    Ecole d'Ete de Probabilites de Saint-Flour XXI - 1991
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    Reflections on the Foundations of Probability and Statistics
    Essays in Honor of Teddy Seidenfeld
    Thomas Augustin, Fabio Gagliardi Cozman and Gregory Wheeler
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  • Emerging Topics in Modeling Interval-Censored Survival Data - Jianguo Sun
    Emerging Topics in Modeling Interval-Censored Survival Data
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    System Design for Epidemics Using Machine Learning and Deep Learning
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