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Multimedia Big Data Computing for IoT Applications
Concepts, Paradigms and Solutions...
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Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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Lower Bounds for On-line Interval Coloring with Vector and Cardinality Constraints
We propose two strategies for Presenter in the on-line interval graph coloring games. Specifically, we consider a setting in which each interval is associated with a $d$-dimensional vector of weights ...
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Learning Neo4j
Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database...
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Problem Solving with Algorithms and Data Structures
...
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Static Analysis using Parameterised Boolean Equation Systems
The well-known problem of state space explosion in model checking is even more critical when applying this technique to programming languages, mainly due to the presence of complex data structures. On...
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Regret Minimization in Repeated Games: A Set-Valued Dynamic Programming Approach
The regret-minimization paradigm has emerged as an effective technique for designing algorithms for online decision-making in adversarial environments. But so far, designing exact optimal policies tha...
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Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
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Libelf by Example
A tutorial introduction to the ELF(3) & GELF(3) APIs...
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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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Think Data Structures
Algorithms and Information Retrieval in Java...
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Intertwingled
The Work and Influence of Ted Nelson...
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CIA Reading Room cia-rdp90t00155r000500030026-8: ATTACKING TARGETS BEYOND THE FEBA NATO NEEDS NEW WE
Approved For Release 2011/09/27: CIA-RDP90T00155R000500030026-8 Attacking Targets Beyond the FEBA NATO needs new weapons by Mark Hewish A major problem facing NATO is its in-ability to match the Warsa...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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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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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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What Is Data Science?
The future belongs to the companies and people that turn data into products...
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Intel Trusted Execution Technology for Server Platforms
A Guide to More Secure Datacenters...
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Projection-Based Clustering through Self-Organization and Swarm Intelligence
Combining Cluster Analysis with the Visualization of High-Dimensional Data...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Smooth CoffeeScript
Effective CoffeeScript and the Beauty of Functional Programming...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Phase Transitions in Semidefinite Relaxations
Statistical inference problems arising within signal processing, data mining, and machine learning naturally give rise to hard combinatorial optimization problems. These problems become intractable wh...
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Intel Cilk Plus for Complex Parallel Algorithms: "Enormous Fast Fourier Transform" (EFFT) Library
In this paper we demonstrate the methodology for parallelizing the computation of large one-dimensional discrete fast Fourier transforms (DFFTs) on multi-core Intel Xeon processors. DFFTs based on the...
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Understanding Machine Learning
From Theory to Algorithms...
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Certified Programming with Dependent Types
A Pragmatic Introduction to the Coq Proof Assistant...
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The Definitive Guide to Graph Databases
for the RDBMS Developer...
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CIA Reading Room cia-rdp79-00798a000400040003-7: THE ROLE OF SCIENTIFIC AND ENGINEERING SOCIETIES IN
Declassified in Part - Sanitized Copy Approved for Release 2012/11/13: CIA-RDP79-00798A000400040003-7 THE '~ is .y (l ti T SHE RULE 0131 S(3 -E.NTI.fIC P, a, GINLll'a~s.73`U~~ s i~C:i: I IN THI LP i U...
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Data Structures and Algorithms
Annotated Reference with Examples...
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Graph Databases For Beginners
The #1 Platform for Connected Data...
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Data Science with Microsoft SQL Server 2016
...
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The Data Journalism Handbook
How Journalists Can Use Data to Improve the News...
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Think Raku (Think Perl 6)
How to Think Like a Computer Scientist...
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Think OCaml
How to Think Like a (Functional) Programmer...
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Linked Democracy
Foundations, Tools, and Applications...
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Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method
We give a new approach to the dictionary learning (also known as "sparse coding") problem of recovering an unknown $n\times m$ matrix $A$ (for $m \geq n$) from examples of the form \[ y = Ax + e, \] w...
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Neutron Diffraction and $\mu$SR Studies of Two Polymorphs of Nickel Niobate (NiNb$_2$O$_6$)
Neutron diffraction and muon spin relaxation ($\mu$SR) studies are presented for the newly characterized polymorph of NiNb$_2$O$_6$ ($\beta$-NiNb$_2$O$_6$) with space group P4$_2$/n and $\mu$SR data o...
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Algorithmic Graph Theory and Sage
...
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Security Infrastructure Technology for Integrated Utilization of Big Data
Applied to the Living Safety and Medical Fields...
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Programming Persistent Memory
A Comprehensive Guide for Developers...
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How to Think Like a Computer Scientist
Learning with Python...
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Wind Riemannian spaceforms and Randers metrics of constant flag curvature
Recently, wind Riemannian structures (WRS) have been introduced as a generalization of Randers and Kropina metrics. They are constructed from the natural data for Zermelo navigation problem, namely, a...
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Managing Cloud Native Data on Kubernetes
Architecting Cloud Native Data Services Using Open Source Technology...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Introduction to Python for Computational Science and Engineering
A beginner's guide...
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Representation Learning for Natural Language Processing
...
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Is Parallel Programming Hard, And, If So, What Can You Do About It?
...
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Fast Computation of Abelian Runs
Given a word $w$ and a Parikh vector $\mathcal{P}$, an abelian run of period $\mathcal{P}$ in $w$ is a maximal occurrence of a substring of $w$ having abelian period $\mathcal{P}$. Our main result is ...
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Principles of Programming Languages
...
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Graph Databases
New Opportunities for Connected Data...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Space-time correlations in inflationary spectra, a wave packet analysis
The inflationary mechanism of mode amplification predicts that the state of each mode with a given wave vector is correlated to that of its partner mode with the opposite vector. This implies nonlocal...
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Java, Java, Java
Object-Oriented Problem Solving...
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The Big Data Agenda
Data Ethics and Critical Data Studies...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Foundations of Software Science and Computation Structures
22nd International Conference, FOSSACS 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6–11, 2019, Proceedings...
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Robust Bayesian inference of networks using Dirichlet t-distributions
Bayesian graphical modeling provides an appealing way to obtain uncertainty estimates when inferring network structures, and much recent progress has been made for Gaussian models. These models have b...
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Recent advances in electronic structure theory and their influence on the accuracy of ab initio pote
First published in 1989...
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Large Magneto-Dielectric Effects in Orthorhombic HoMnO3 and YMnO3
We have found a remarkable increase (up to 60 %) of the dielectric constant with the onset of magnetic order at 42 K in the metastable orthorhombic structures of YMnO3 and HoMnO3 that proves the exist...
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IEEE Southeastcon '99 : proceedings : technology on the brink of 2000 ... : March 25-28, 1999, Hyatt
xiii, 341 pages : 28 cm...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Learning to Classify Text Using Support Vector Machines
First published in 2002...
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Advances in parallel and vector processing for structural mechanics
First published in 1994...
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Foundations of Machine Learning
...
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Statistical analysis of trajectories on Riemannian manifolds: Bird migration, hurricane tracking and
We consider the statistical analysis of trajectories on Riemannian manifolds that are observed under arbitrary temporal evolutions. Past methods rely on cross-sectional analysis, with the given tempor...
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Data Collection in Fragile States
Innovations from Africa and Beyond...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Single- and Multi-level Network Sparsification by Algebraic Distance
Network sparsification methods play an important role in modern network analysis when fast estimation of computationally expensive properties (such as the diameter, centrality indices, and paths) is r...
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Teaching Tolerance in a Globalized World
...
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Signal Computing
Digital Signals in the Software Domain...
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Data Protection for the Hybrid Cloud
Microsoft System Center...
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Asymptotic minimaxity of False Discovery Rate thresholding for sparse exponential data
We apply FDR thresholding to a non-Gaussian vector whose coordinates X_i, i=1,..., n, are independent exponential with individual means $\mu_i$. The vector $\mu =(\mu_i)$ is thought to be sparse, with...
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Vector data structure conversion at the EROS Data Center
First published in 1986...
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Big Data in Context
Legal, Social and Technological Insights...
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The Elements of Data Analytic Style
A guide for people who want to analyze data...
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CIA Reading Room cia-rdp93t01142r000100020004-7: THE ATLANTIC COUNCIL OF THE UNITED STATES AND THE I
_._._ . __ . ~ ~. 1 Approved For Release 2011/09/01 :CIA-RDP93T01142R000100020004-7 The Atlantic Council of the United States and the International Economic Studies Institute Occasional Paper Western ...
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Separatrices and basins of stability from time series data
An approach is presented for identifying separatrices in phase space generated from noisy time series data sets representative of measured experimental data. These separatrices are identified as ridge...
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Data-Driven Policy Impact Evaluation
How Access to Microdata is Transforming Policy Design...
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