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Foundations of Machine Learning
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
View Book →Efficient commodity price forecasting using long short-term memory model
Predicting commodity prices, particularly food prices, is a significant concern for various stakeholders, especially in regions that are highly sensitive to commodity price volatility. Historically, m...
View Book →A Machine Learning Approach to Bitcoin Price Forecasting
One of the most revolutionary financial breakthroughs of the twenty first century, Bitcoin is transforming conventional ideas of money, investing, and decentralized finance. However, because of its ex...
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Copula--based Specification of vector MEMs
The Multiplicative Error Model (Engle (2002)) for nonnegative valued processes is specified as the product of a (conditionally autoregressive) scale factor and an innovation process with nonnegative s...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Algorithmic Graph Theory and Sage
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Signal Computing
Digital Signals in the Software Domain...
View Book →Predicting Stock Price by Using Attention-Based Hybrid LSTM Model
The financial markets are inherently complex and dynamic, characterized by high volatility and the influence of numerous factors. Predicting stock price trends is a challenging endeavor that has been ...
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Variant Construction from Theoretical Foundation to Applications
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Bayesian Methods in the Search for MH370
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View Book →Corrected portmanteau tests for VAR models with time-varying variance
The problem of test of fit for Vector AutoRegressive (VAR) processes with unconditionally heteroscedastic errors is studied. The volatility structure is deterministic but time-varying and allows for c...
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AI-enhanced strategic management of foreign direct investment in China: decoding the mediating effec
The integration of artificial intelligence into foreign direct investment management represents a paradigm shift in strategic decision-making, particularly as traditional analytical frameworks prove i...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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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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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Food Price Volatility and Its Implications for Food Security and Policy
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Biodiversity and Health in the Face of Climate Change
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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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Solving PDEs in Python
The FEniCS Tutorial I...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
View Book →The Impact of Macroeconomic Variables on the Performance of the Insurance Industry Using the SVAR Ap
BACKGROUND AND OBJECTIVES: The present study was conducted with the primary objective of identifying, analyzing, and explaining the key macroeconomic factors that influence the performance of Iran's i...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
View Book →CIA Reading Room cia-rdp10-02196r000300100005-6: SOVIET ATOMIC ENERGY VOL. 32, NO. 6
Declassified and Approved For Release 2013/03/01 : CIA-RDP10-02196R000300100005-6 Russian Original Vo/.32, No. 6, June, 1972 Translation published December, 1972 SATEAZ 32(6) 533-630 (1972) SOVIET ATO...
View Book →CIA Reading Room cia-rdp86-00513r000204610017-0: SCIENTIFIC ABSTRACT BELYAYEV, P. P. - BELYAYEV, V.
"APPROVED FOR RELEASE: 06/08/2000 CIA-RDP86-00513R000204610017-0BEL~Y~ t~.?., kand.khimicheskikh nauk. ~apid cleaning processes with the help of emulsifiers. NIIKHR.~.~SH no.28:78-88 159. (Metal clean...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Applied Quantitative Finance
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Estimation in nonlinear regression with Harris recurrent Markov chains
In this paper, we study parametric nonlinear regression under the Harris recurrent Markov chain framework. We first consider the nonlinear least squares estimators of the parameters in the homoskedast...
View Book →Applied Forensic Economics: Advanced Methods in Econometrics, Valuation, and Litigation Analysis
Applied Forensic Economics is a comprehensive, graduate-level textbook and professional reference that occupies a unique and vital intersection of law, economics, finance, and statistics. The book is ...
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Understanding Machine Learning
From Theory to Algorithms...
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Sparse Bayesian vector autoregressions in huge dimensions
We develop a Bayesian vector autoregressive (VAR) model that is capable of handling vast dimensional information sets. Three features are introduced to permit reliable estimation of the model. First, ...
View Book →The dynamics of capital flow episodes
iv, 49 pages :...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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CIA Reading Room cia-rdp10-02196r000800030004-0: SOVIET ATOMIC ENERGY VOL. 48, NO. 5
Declassified and Approved For Release 2013/02/01: CIA-RDP10-02196R000800030004-0 Russian Original Vol. 48, No. 5, May, 1980 November, 1980 SATEAZ 48(5) 281-352 (1980) SOVIET E NERGY ATOMHAH 3HEPTMA (A...
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Linear Selection Indices in Modern Plant Breeding
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Software for Exascale Computing - SPPEXA 2016-2019
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
View Book →01 Simionescu 2016 1 1
Mihaela Simionescu Institute for Economic Forecasting of the Romanian Academy Abstract In this study, we proposed some inflation rate predictions based on econometric models that performed better than...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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CIA Reading Room cia-rdp84-00581r000300880049-6: RUSSIA AND BACK FR: TRUDY INST ZOOL AK NAUK SSSR TO
Hymenoptera (Chrysididae) ofA. P. Semenov-Tyan-Shanskty,54 pp.RUSSIAN, per, Trudy Inst Zoo]19-54, pp 89-137.OTS 64-11081PL-480 ~Sci - Biol & Med SciJan 65'I'adzhWstan, byM. N. Nikollskaya,Ak Nauk SSSF...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Large deviations of the realized (co-)volatility vector
Realized statistics based on high frequency returns have become very popular in financial economics. In recent years, different non-parametric estimators of the variation of a log-price process have a...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Spacelab Charcoal Analyses
This report describes analytical methods and results obtained from chemical analysis of 31 charcoal samples in five sets. Each set was obtained from a single scrubber used to filter ambient air on boa...
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Anisotropy Across Fields and Scales
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
View Book →Intelligent data engineering and automated learning -- IDEAL 2005 : 6th international conference, Br
1 online resource (xvi, 599 pages) :...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Representation Learning for Natural Language Processing
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