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Forecasting with Vector Nonlinear Time Series Models
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Linear Selection Indices in Modern Plant Breeding
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Anisotropy Across Fields and Scales
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Data Science with Microsoft SQL Server 2016
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Problem Solving with Algorithms and Data Structures
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New Horizons for a Data-Driven Economy
A Roadmap for Usage and Exploitation of Big Data in Europe...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Forecasting in Vector Autoregressions with Many Predictors
This paper addresses the issue of improving the forecasting performance of vector autoregressions (VARs) when the set of available predictors is inconveniently large to handle with methods and diagnos...
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Variant Construction from Theoretical Foundation to Applications
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Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
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Algorithmic Graph Theory and Sage
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Hands-On Machine Learning with Scikit-Learn and PyTorch
The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill se...
View Book →Optimization of input data selection using gamma test and support vector machines for flood forecast
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Essentials of Business Analytics
An Introduction to the Methodology and its Applications...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
View Book →PostGIS Cookbook
An easy-to-use guide, full of hands-on recipes for manipulating spatial data in a PostGIS database. Each topic is explained and placed in context, and for the more inquisitive, there are more details ...
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Foundations of Machine Learning
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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The Big Data Agenda
Data Ethics and Critical Data Studies...
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Graph Databases
New Opportunities for Connected Data...
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Forecasting and Assessing Risk of Individual Electricity Peaks
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View Book →Three Essays on Updating Forecasts in Vector Autoregression Models
Forecasting firms' earnings has long been an interest of market participants and academics. Traditional forecasting studies in a multivariate time series setting do not take into account that the timi...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
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Signal Computing
Digital Signals in the Software Domain...
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The Big Book of Machine Learning Use Cases
Your complete how-to guide to putting ML to work - plus code samples and notebooks...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Big Data in Bioeconomy
This edited open access book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. These methods are used to develop new and...
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Ubiquitous Computing and Ambient Intelligence: Personalisation and User Adapted Services
This book constitutes the refereed proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2014, held in Belfast, UK, in December 2014. The 57 papers pr...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Forecast Skill of Targeted Observations: a Singular Vector Based Diagnostic
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Solar Particle Radiation Storms Forecasting and Analysis
The HESPERIA HORIZON 2020 Project and Beyond...
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Solving PDEs in Python
The FEniCS Tutorial I...
View Book →Multi-Step Ahead Forecasting of Vector Time Series
This paper develops the theory of multi-step ahead forecasting for vector time series that exhibit temporal nonstationarity and co-integration. We treat the case of a semi-infinite past by developing ...
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SQL Server Execution Plans, 3rd Edition
For SQL Server 2008 through to 2017 and Azure SQL Database...
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Bayesian Methods in the Search for MH370
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Managing Cloud Native Data on Kubernetes
Architecting Cloud Native Data Services Using Open Source Technology...
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Representation Learning for Natural Language Processing
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View Book →Techniques of Forecasting Using Vector Autoregressions
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
View Book →Simultaneous Prediction Intervals for Multiple Steps Ahead Forecasts in Vector Time Series
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Advanced Computational and Communication Paradigms
This book presents high-quality, peer-reviewed papers from Fourth International Conference on Advanced Computational and Communication Paradigms (ICACCP 2023), organized by Department of Computer Scie...
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Understanding Machine Learning
From Theory to Algorithms...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
View Book →A Simple Guide to Retrieval Augmented Generation
Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Augmented Generation—or RAG—enhances an LLM’s available data by adding context from an external know...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Vector-autoregression Forecast Models for the Third District States
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Graph Databases For Beginners
The #1 Platform for Connected Data...
View Book →Contemporary Studies of Risks in Emerging Technology
With the rapid development of technologies, it becomes increasingly important for us to remain up-to-date on new and emerging technologies. This series, therefore, aims to deliver content on current a...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Challenges and Opportunities in Artificial Intelligence
Challenges and Opportunities in Artificial Intelligence: Engineering and Management Applications presents a comprehensive exploration of how Artifical Intelligence (AI) is transforming modern engineer...
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Software for Exascale Computing - SPPEXA 2016-2019
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Developing Graphics Frameworks with Python and OpenGL
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Forecasting with generalized Bayesian vector autoregressions
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Defense against the Black Arts
How Hackers Do What They Do and How to Protect against It...
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