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  • Learning in the Absence of Training Data - Dalia Chakrabarty
    Learning in the Absence of Training Data
    Dalia Chakrabarty
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    Statistics for Chemical and Process Engineers
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    Leonid Karlinsky, Tomer Michaeli and Ko Nishino
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    Random Walks on Infinite Groups
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    Statistics for Clinicians
    Andrew Owen
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    A Practical Guide to Atmospheric Simulation Chambers
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    Mathematics Going Forward
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    Edge Intelligence
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    Key Digital Trends in Artificial Intelligence and Robotics
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    Luigi Troiano, Alfredo Vaccaro and Nishtha Kesswani
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  • Information Technologies and Mathematical Modelling. Queueing Theory and Applications : 21st International Conference, ITMM 2022, Karshi, Uzbekistan, October 25-29, 2022, Revised Selected Papers - Alexander Dudin
    Information Technologies and Mathematical Modelling. Queueing Theory and Applications
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    Alexander Dudin, Anatoly Nazarov and Alexander Moiseev
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    Real-World Evidence in Medical Product Development
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    Database and Expert Systems Applications - DEXA 2023 Workshops
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    Gabriele Kotsis, A Min Tjoa and Ismail Khalil
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    Modern Survival Analysis in Clinical Research
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    Revealing Media Bias in News Articles
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  • An Introduction to Optimal Control Theory : The Dynamic Programming Approach - Onésimo Hernández-Lerma
    An Introduction to Optimal Control Theory
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    Robust and Multivariate Statistical Methods
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  • Computer Vision - ECCV 2022 Workshops : Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part I - Leonid Karlinsky
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    Leonid Karlinsky, Tomer Michaeli and Ko Nishino
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    Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
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    Theory and Applications of Time Series Analysis and Forecasting
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    Machine Learning and Big Data Analytics
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  • Computational Intelligence Methods for Bioinformatics and Biostatistics : 17th International Meeting, CIBB 2021, Virtual Event, November 15-17, 2021, Revised Selected Papers - Davide Chicco
    Computational Intelligence Methods for Bioinformatics and Biostatistics
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    Concentration and Gaussian Approximation for Randomized Sums
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    A Course of Stochastic Analysis
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    Data Science Concepts and Techniques with Applications
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    Introduction to Probability and Random Variables
    Orhan Gazi
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    Product Lifecycle Management. PLM in Transition Times
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    Frédéric Noël, Felix Nyffenegger and Louis Rivest
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    Statistical Inference and Machine Learning for Big Data
    Mayer Alvo
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    Sentiment Analysis in the Medical Domain
    Kerstin Denecke
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    Advanced Hybrid Information Processing
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    Weina Fu and Lin Yun
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    Learning to Quantify
    Andrea Esuli, Alessandro Fabris and Alejandro Moreo
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    Markov Chains on Metric Spaces
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    Michel Benaïm and Tobias Hurth
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    Recommender Systems in Fashion and Retail
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    Humberto Jesús Corona Pampín and Reza Shirvany
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    Multi-modal Hash Learning
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    Lei Zhu, Jingjing Li and Weili Guan
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    Variational and Diffusion Problems in Random Walk Spaces
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    Quantitative Psychology
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    Marie Wiberg, Dylan Molenaar and Jorge González
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    Statistical Models and Methods for Data Science
    Leonardo Grilli, Monia Lupparelli and Carla Rampichini
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    Discrete-Time Semi-Markov Random Evolutions and Their Applications
    Nikolaos Limnios and Anatoliy Swishchuk
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    Deep Learning Foundations
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    Classification Functions for Machine Learning and Data Mining
    Tsutomu Sasao
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    Advances in Swarm Intelligence
    14th International Conference, ICSI 2023, Shenz...
    Ying Tan, Yuhui Shi and Wenjian Luo
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    Chronicles
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    Thomas Guyet and Philippe Besnard
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    Machine Learning for Networking
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    �ric Renault and Paul Mühlethaler
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    Gaussian Measures in Finite and Infinite Dimensions
    Daniel W. Stroock
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    $132.75
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    Models for Data Analysis
    SIS 2018, Palermo, Italy, June 20-22
    Eugenio Brentari, Marcello Chiodi and Ernst-Jan Camiel Wit
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    Decentralized Insurance
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    Runhuan Feng
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    $132.75
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    Statistical Methods and Analyses for Medical Devices
    Scott A. Pardo
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    Precision Health and Artificial Intelligence
    With Privacy, Ethics, Bias, Health Equity, Best...
    Arjun Panesar
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    Applied Calculus with R
    Thomas J. Pfaff
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    Data-Driven SEO with Python
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    Andreas Voniatis
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    Diffusion Processes and their Sample Paths
    Kiyosi Itô and Henry P. Jr. McKean
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    Probability
    Albert Shiryaev and Stephen S. Wilson
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  • Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques : Third International Workshop on Randomization and Approximation Techniques in Computer Science, and Second International Workshop on Approximation Algorithms for Com - Dorit Hochbaum
    Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques
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    Document Analysis and Recognition - ICDAR 2023 Workshops
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    Bayesian Real-Time System Identification
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    Big Data
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    Neural Information Processing
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