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Singlet Assisted Supersymmetry Breaking
We describe a simple recipe for obtaining local supersymmetry-breaking vacua in s-confining theories coupled to gauge singlets. This recipe gives rise to effective O'Raifeartaigh models in the IR, wit...
View Book →Moduli of Vector Bundles
"Contains papers presented at the 35th Taniguchi International Symposium held recently in Sanda and Kyoto, Japan. Details the latest developments concerning moduli spaces of vector bundles or instanto...
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Linear Selection Indices in Modern Plant Breeding
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Signal Computing
Digital Signals in the Software Domain...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Notes on the Paranormal
here I supply information related to the paranormal....
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Multigraded linear series and recollement
Given a scheme $Y$ equipped with a collection of globally generated vector bundles $E_1, \dots, E_n$, we study the universal morphism from $Y$ to a fine moduli space $\mathcal{M}(E)$ of cyclic modules...
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Bayesian Methods in the Search for MH370
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Scientific and Technical Books in Print
No description available....
View Book →Practical Neural Network Recipes in C++
This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to s...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
View Book →Support Vector Machines Applications
Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medi...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Holographic technicolor models and their S-parameter
We study the Peskin-Takeuchi S-parameter of holographic technicolor models. We present the recipe for computing the parameter in a generalized holographic setup. We then apply it to several holographi...
View Book →Middle East Technical University studies in development
No description available....
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Population Genetics, Systematics and Vector-virus Relationships of Aedes (Ochlerotatus Mosquitoes
No description available....
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Understanding Machine Learning
From Theory to Algorithms...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Biodiversity and Health in the Face of Climate Change
...
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Knowledge Discovery with Support Vector Machines
An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technica...
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Algorithmic Graph Theory and Sage
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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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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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The Rise of the Standard Model
Editors Laurie Brown, Max Dresden, Lillian Hoddeson and Michael Riordan have brought together a distinguished group of elementary particle physicists and historians of science to explore the recent hi...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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View Book →Studies of a TMV-based Expression Vector in Plant Cell Cultures
No description available....
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Python Feature Engineering Cookbook
Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries Key Features Discover solutions for feature generation, featu...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Support Vector Machines and Their Application in Chemistry and Biotechnology
Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While ...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Foundations of Machine Learning
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View Book →How to Design Programs
Processing simple forms of data - Processing arbitrarily large data - More on processing arbitrarily large data - Abstracting designs - Generative recursion - Changing the state of variables - Changin...
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Anisotropy Across Fields and Scales
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Sum-of-squares lower bounds for planted clique
Finding cliques in random graphs and the closely related "planted" clique variant, where a clique of size k is planted in a random G(n, 1/2) graph, have been the focus of substantial study in algorith...
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Photoproduction and Vector Dominance
No description available....
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Vectors and Vector-borne Diseases
No description available....
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Variant Construction from Theoretical Foundation to Applications
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Representation Learning for Natural Language Processing
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
View Book →Publications Catalogue
No description available....
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Multivariable Calculus from Graphical, Numerical, and Symbolic Points of View
The text addresses a general mathematical audience: mathematics majors, science and engineering majors, and non-science majors. [The authors] assume little more mathematical maturity than for single-v...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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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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Photospheric Logarithmic Velocity Spirals as MHD Wave Generation Mechanisms
High-resolution observations of the solar photosphere have identified a wide variety of spiralling motions in the solar plasma. These spirals vary in properties, but are observed to be abundant at the...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
View Book →Getting started with Deep Learning for Natural Language Processing
Learn how to redesign NLP applications from scratch. KEY FEATURESÊÊ ¥ Get familiar with the basics of any Machine Learning or Deep Learning application. ¥ Understand how does preprocessing work in...
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