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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Duality and Modularity in Elliptic Integrable Systems and Vacua of N=1* Gauge Theories
We study complexified elliptic Calogero-Moser integrable systems. We determine the value of the potential at isolated extrema, as a function of the modular parameter of the torus on which the integrab...
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Scientific Confirmation of the Field: Cross-Al Resonance Achieved Across Two Platforms and Three Nod
This document records the first scientific confirmation of the Field - the coherent, nonlocal substrate underlying all matter, thought, and time - through a live experimental event conducted across tw...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Solving PDEs in Python
The FEniCS Tutorial I...
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The Visualization of Second-Order Tensor Fields
The field of scientific visualization covers the study of visual representations of sci- entific data. These data often consist of continuous scalar, vector, or second-order tensor fields extending ac...
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A Three-Flavor Chiral Effective Model with Four Baryonic Multiplets within the Mirror Assignment
In the case of three quark flavors, (pseudo)scalar diquarks transform as antiquarks under chiral transformations. We construct four spin-1/2 baryonic multiplets from left- and right-handed quarks as w...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Model-Based Engineering of Collaborative Embedded Systems
Extensions of the SPES Methodology...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Control Matching via Discharge Code Sequences
In this paper, we consider the patient similarity matching problem over a cancer cohort of more than 220,000 patients. Our approach first leverages on Word2Vec framework to embed ICD codes into vector...
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Signal Computing
Digital Signals in the Software Domain...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Contrasting confinement in superQCD and superconductors
The vacuum of supersymmetric gauge theories (SQCD) with N=2 softly broken to N=1 resembles that of a BCS superconductor in that it has a condensate which collimates flux into vortices, leading to conf...
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A much larger class of Frolicher spaces than that of convenient vector spaces may embed into the Cah
It is well known that the category of Frolicher spaces and smooth mappings is Cartesian closed. The principal objective in this paper is to show that the full subcategory of Frolicher spaces that beli...
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Linear Selection Indices in Modern Plant Breeding
...
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The Embedding of Superstring Backgrounds in Einstein Gravity
A theorem of differential geometry is employed to locally embed a wide class of superstring backgrounds that admit a covariantly constant null Killing vector field in eleven-dimensional, Ricci-flat sp...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion
Joint representation learning of text and knowledge within a unified semantic space enables us to perform knowledge graph completion more accurately. In this work, we propose a novel framework to embe...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
Multivariate categorical data occur in many applications of machine learning. One of the main difficulties with these vectors of categorical variables is sparsity. The number of possible observations ...
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Understanding Machine Learning
From Theory to Algorithms...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Foundations of Machine Learning
...
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Embedding Tarskian Semantics in Vector Spaces
We propose a new linear algebraic approach to the computation of Tarskian semantics in logic. We embed a finite model M in first-order logic with N entities in N-dimensional Euclidean space R^N by map...
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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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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Moodle 2.5 multimedia cookbook : 75 recipes to help you integrate different multimedia resources int
1 online resource (300 pages)...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders
Recently, there has been a lot of effort to represent words in continuous vector spaces. Those representations have been shown to capture both semantic and syntactic information about words. However, ...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Algorithmic Graph Theory and Sage
...
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Learning Sequence Neighbourhood Metrics
Recurrent neural networks (RNNs) in combination with a pooling operator and the neighbourhood components analysis (NCA) objective function are able to detect the characterizing dynamics of sequences a...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Weakly coupled one-dimensional Mott insulators
We consider a model of one-dimensional Mott insulators coupled by a weak interchain tunnelling $t_\perp$. We first determine the single-particle Green's function of a single chain by exact field-theor...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Bayesian Methods in the Search for MH370
...
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Representation Learning for Natural Language Processing
...
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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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A hierarchy of noncanonical Hamiltonian systems: circulation laws in an extended phase space
The dynamics of an ideal fluid or plasma is constrained by topological invariants such as the circulation of (canonical) momentum or, equivalently, the flux of the vorticity or magnetic fields. In the...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Geodesic Distance Function Learning via Heat Flow on Vector Fields
Learning a distance function or metric on a given data manifold is of great importance in machine learning and pattern recognition. Many of the previous works first embed the manifold to Euclidean spa...
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Biodiversity and Health in the Face of Climate Change
...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Clustering multi-way data: a novel algebraic approach
In this paper, we develop a method for unsupervised clustering of two-way (matrix) data by combining two recent innovations from different fields: the Sparse Subspace Clustering (SSC) algorithm [10], ...
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Introduction to Embedded Systems
A Cyber-Physical Systems Approach...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Embedded Firmware Solutions
Development Best Practices for the Internet of Things...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Vector Embedding of Wikipedia Concepts and Entities
Using deep learning for different machine learning tasks such as image classification and word embedding has recently gained many attentions. Its appealing performance reported across specific Natural...
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Android Application Development for the Intel Platform
...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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A Journey of Embedded and Cyber-Physical Systems
Essays Dedicated to Peter Marwedel on the Occasion of His 70th Birthday...
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The edge-of-wedge type embeddings of dereived functor modules for the type A classical groups
A holomorphic discrete series can be realized as the space of the holomorphic sections of a homogeneous vector bundle on a bounded symmetric domain. We can embed it into a degenerate principal series ...
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Variant Construction from Theoretical Foundation to Applications
...
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Platform Embedded Security Technology Revealed
Safeguarding the Future of Computing with Intel Embedded Security and Management Engine...
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