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Syntax-based Statistical Machine Translation
Springer 出版This unique book provides a comprehensive introduction to the most popular syntax-based statistical
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Vintage Journal Stylized Machine
Ingram 出版The Vintage Journal Stylized Machine pocket journal features an illustration of machine. This journ
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Data Management in Machine Learning Systems
Springer 出版Large-scale data analytics using machine learning (ML) underpins many modern data-driven applicatio
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Lifelong Machine Learning, Second Edition
Springer 出版Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradi
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Brain-Machine Interface Engineering
Springer 出版Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and n
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Adversarial Machine Learning
Springer 出版The increasing abundance of large high-quality datasets, combined with significant technical advanc
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Covariances in Computer Vision and Machine Learning
Springer 出版Covariance matrices play important roles in many areas of mathematics, statistics, and machine lear
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Cyber Security, Cryptology, and Machine Learning
Springer 出版This book constitutes the refereed proceedings of the 6th International Symposium on Cyber Security
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Machine Art and Other Writings
Ingram 出版Machine Art and Other Writings presents previously unpublished and rare writings by one of the lite
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Artificial Intelligence and Machine Learning in Smart City Planning
Elsevier 出版Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical appl
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The Ultimate Detroit Tigers Time Machine Book
Lyons Press 出版The Detroit Tigers have been marked neither by dynasties nor doldrums. The Tigers captured just fou
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Transformers for Machine Learning
Ingram 出版Transformers are becoming a core part of many neural network architectures, employed in a wide rang
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Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming
Ingram 出版Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human being
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Machine Learning in Tribology
Ingram 出版Tribology has been and continues to be one of the most relevant fields, being present in almost all
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The Wrench in the Machine
In 1875, Inspector Ol'Barrow of Dover's borough police is still coming to terms with the advent of
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A Machine Learning Technique for Estimating Cuffless Blood Pressure, Utilizing Voice Marker
Blood Pressure (BP) estimation serves as a pivotal diagnostic tool for various diseases and stands
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Hardware-Aware Probabilistic Machine Learning Models
Springer 出版This book proposes probabilistic machine learning models that represent the hardware properties of
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Machine Learning
Ingram 出版This book introduces machine learning for readers with some background in basic linear algebra, sta
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Machine Learning on Kubernetes
Packt 出版Build a Kubernetes-based self-serving, agile data science and machine learning ecosystem for your o
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Summer of Robo Machine
Ingram 出版Summer of Robo-MachineThe beach is usually a fun place to spend a nice day. When a guy meets a girl
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Applied Intelligent Decision Making in Machine Learning
Ingram 出版The objective of this edited book is to share outcomes on various research domains to develop effic
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Leveraging Machine Learning for Operation Assessment
Ingram 出版This report demonstrates how machine learning (ML) can support assessment of military operations by
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Machine Learning for Edge Computing
Ingram 出版This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI o
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The War Machine
It's 1988, and secrets that were buried in the jungles of Vietnam twenty years earlier are starting
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Machine Learning and the City
Wiley-Blackw 出版Machine Learning and the City Explore the applications of machine learning and artificial intellige
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Machine Learning in Air Force Human Resource Management
The Department of the Air Force is working to develop artificial intelligence and machine learning
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Blockchain, Big Data and Machine Learning
Ingram 出版Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including a
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Kernel Methods for Machine Learning with Math and R
Springer 出版The most crucial ability for machine learning and data science is mathematical logic for grasping t
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Dataset Shift in Machine Learning
Mit Press 出版An overview of recent efforts in the machine learning community to deal with dataset and covariate
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A System Of Engines And Products Of Harrisburg Foundry And Machine Works
Palala Press 出版This work has been selected by scholars as being culturally important, and is part of the knowledge
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Coordinating Aggregate and Detailed Scheduling Decisions in the one Machine Job-shop; I-theory
Ingram 出版This work has been selected by scholars as being culturally important, and is part of the knowledge
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Capacity and Efficiency Test of an Autovacuum Refrigerating Machine
Palala Press 出版This work has been selected by scholars as being culturally important, and is part of the knowledge
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Rejection of Book Printing Paper. Hearing Before the Joint Committee on Printing ... Relative to the Rejection by the Public Printer of Machine-finish and Supercalendered Book Printing Paper on Accoun
Ingram 出版This work has been selected by scholars as being culturally important, and is part of the knowledge
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A Trip Round the World in a Flying Machine
Sagwan Press 出版This work has been selected by scholars as being culturally important, and is part of the knowledge
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An Essay for a Machine of Perpetual Motion. By Mr. Robert Stewart,
The 18th century was a wealth of knowledge, exploration and rapidly growing technology and expandin
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Close to the Machine (25th Anniversary Edition)
Picador USA 出版When Ellen Ullman's memoir of her life as a software engineer was published in 1997, it was greeted
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Privacy Preservation in Iot: Machine Learning Approaches
Springer 出版This book aims to sort out the clear logic of the development of machine learning-driven privacy pr
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The Statistical Physics of Data Assimilation and Machine Learning
Ingram 出版Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as ge
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Supervised Machine Learning
CRC Press 出版AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods
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Mastering Azure Machine Learning - Second Edition
Packt 出版Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes S
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Covered With Mud and Glory; A Machine Gun Company in Action ("Ma Mitrailleuse")
Ingram 出版The book "" Covered With Mud and Glory; A Machine Gun Company in Action (""Ma Mitrailleuse"") "" ha
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Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
Ingram 出版Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach
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Machine Learning in Sensors and Imaging
Ingram 出版Machine learning is extending its applications in various fields, such as image processing, the Int
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The Time Machine (Esprios Classics)
Lulu.com 出版Herbert George Wells (21 September 1866 - 13 August 1946) was an English writer. Prolific in many g
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Machine Learning Fundamentals
Ingram 出版This lucid, accessible introduction to supervised machine learning presents core concepts in a focu
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Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
Ingram 出版This book introduces Bayesian reasoning and Gaussian processes into machine learning applications.
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The Abyssal Machine
A sorceress with a metal arm and a barbarian with a battleaxe journeying across impossible, changin