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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Supervised Learning with Similarity Functions
We address the problem of general supervised learning when data can only be accessed through an (indefinite) similarity function between data points. Existing work on learning with indefinite kernels ...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Chapter Robust GNSS Positioning in Urban Environment
In the past years, global navigation satellite systems (GNSS) have gained the core position concerning the geolocalization applications and services in urban environments. The major issue of the GNSS-...
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Biodiversity and Health in the Face of Climate Change
...
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Smart livestock management: integrating IoT for cattle health diagnosis and disease prediction throu
Cattle diseases can significantly impact on livestock health and agricultural productivity is substantial. Timely detection and prognosis of these diseases are essential for prompt interventions and p...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Collected Works
The motivation for the research that is described in these volumes is the wish to explain things in terms of their underlying causes, rather than merely being satisfied with phenomenological descripti...
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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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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Optimal pitch thrust-vector angle and benefits for all flight regimes
First published in 2000...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Biological control of vectors
First published in 1991...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Bayesian Methods in the Search for MH370
...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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The Robien Appreciation And Vector
Book Source: Digital Library of India Item 2015.115825 dc.contributor.author: Jean .r dc.date.accessioned: 2015-07-02T15:21:56Z dc.date.available: 2015-07-02T15:21:56Z dc.date.digitalpublicationdate: ...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Blazor for ASP NET Web Forms Developers
...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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High-level intracellular expression of heterologous proteins in Brevibacillus choshinensis SP3 under
This article is from Microbial Cell Factories , volume 12 . Abstract Background: In past years research has focused on the development of alternative Gram positive bacterial expression systems to prod...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Hepatitis B virus X protein inhibits extracellular IFN-?-mediated signal transduction by downregulat
This article is from International Journal of Molecular Medicine , volume 29 . Abstract We have previously shown that hepatitis B virus (HBV) protein X (HBX), a regulatory protein of HBV, activates St...
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Signal Computing
Digital Signals in the Software Domain...
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NASA Technical Reports Server (NTRS) 20080012478: Integrating the Gradient of the Thin Wire Kernel
A formulation for integrating the gradient of the thin wire kernel is presented. This approach employs a new expression for the gradient of the thin wire kernel derived from a recent technique for num...
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Linear Selection Indices in Modern Plant Breeding
...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Online Supervised Subspace Tracking
We present a framework for supervised subspace tracking, when there are two time series $x_t$ and $y_t$, one being the high-dimensional predictors and the other being the response variables and the su...
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DTIC ADA616734: Real-time Implementation of Vision, Inertial, and GPS Sensors to Navigate in an Urba
The purpose of this research was to obtain a navigation solution that used real data, in a degraded or denied global positioning system (GPS) environment, from low cost commercial o the shelf sensors....
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Algorithmic Graph Theory and Sage
...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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DTIC ADA619841: Intelligent Classification in Huge Heterogeneous Data Sets
This research effort sought to develop basic mathematical models and algorithms to perform classification and pattern recognition on large, heterogeneous data sets. To handle the large amounts of data...
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Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS
Distance weighted discrimination (DWD) is a margin-based classifier with an interesting geometric motivation. DWD was originally proposed as a superior alternative to the support vector machine (SVM),...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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On the gradient of the Green tensor in two-dimensional elastodynamic problems, and related integrals
The two-dimensional elastodynamic Green tensor is the primary building block of solutions of linear elasticity problems dealing with nonuniformly moving rectilinear line sources, such as dislocations....
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NASA Technical Reports Server (NTRS) 19840008362: Data reduction programs for a laser radar system
The listing and description of software routines which were used to analyze the analog data obtained from LIDAR - system are given. All routines are written in FORTRAN - IV on a HP - 1000/F minicomput...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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WATER AND VECTOR BORNE DISEASES (4-Dec-2009)
'WATER AND VECTOR BORNE DISEASES (4-Dec-2009)' from the Parliament Digital Library...
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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...
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Anisotropy Across Fields and Scales
...
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A Hybrid Hierarchical Approach for Brain Tissue Segmentation by Combining Brain Atlas and Least Squa
This article is from Journal of Medical Signals and Sensors , volume 3 . Abstract In this paper, we present a new semi-automatic brain tissue segmentation method based on a hybrid hierarchical approac...
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Understanding Machine Learning
From Theory to Algorithms...
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Representation Learning for Natural Language Processing
...
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Maximum Error Modeling for Fault-Tolerant Computation using Maximum a posteriori (MAP) Hypothesis
The application of current generation computing machines in safety-centric applications like implantable biomedical chips and automobile safety has immensely increased the need for reviewing the worst...
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Foundations of Machine Learning
...
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A comprehensive review on machine learning in agriculture domain
Agriculture is an essential part of sustaining human life. Population growth, climate change, resource competition are the key issues that increase food security and to handle such complex problems in...
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Centroid Based Binary Tree Structured SVM for Multi Classification
Support Vector Machines (SVMs) were primarily designed for 2-class classification. But they have been extended for N-class classification also based on the requirement of multiclasses in the practical...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Variant Construction from Theoretical Foundation to Applications
...
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An Explicit, Coupled-Layer Construction of a High-Rate MSR Code with Low Sub-Packetization Level, Sm
This paper presents an explicit construction for an $((n,k,d=n-1), (\alpha,\beta))$ regenerating code over a field $\mathbb{F}_Q$ operating at the Minimum Storage Regeneration (MSR) point. The MSR cod...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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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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