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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Data mining techniques for the life sciences
Includes bibliographical references and index. Also available in an electronic version....
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Tools and Algorithms for the Construction and Analysis of Systems
25th International Conference, TACAS 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, Part ...
View Book →Impact of vector processors on algorithms
First published in 1979...
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Breadth First Search Vectorization on the Intel Xeon Phi
Breadth First Search (BFS) is a building block for graph algorithms and has recently been used for large scale analysis of information in a variety of applications including social networks, graph dat...
View Book →Wireless transceiver architecture : bridging RF and digital communications
"Presents transceiver system design and architecture in terms of budgeting a transceiver, transceivers architectures, and algorithms for transceivers"-- Provided by publisher....
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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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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
View Book →Support Vector Machines and Evolutionary Algorithms for Classification
First published in 2014...
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Multidimensional continued fractions, dynamical renormalization and KAM theory
The disadvantage of `traditional' multidimensional continued fraction algorithms is that it is not known whether they provide simultaneous rational approximations for generic vectors. Following ideas ...
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Tools and Algorithms for the Construction and Analysis of Systems : 24th International Conference, T
This book is Open Access under a CC BY licence....
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Understanding Machine Learning
From Theory to Algorithms...
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Tensor Network Contractions
Methods and Applications to Quantum Many-Body Systems...
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Linear Selection Indices in Modern Plant Breeding
...
View Book →A parallel-vector algorithm for rapid structural analysis on high-performance computers
First published in 1990...
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Foundations of Machine Learning
...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
View Book →A bibliography on parallel and vector numerical algorithms
First published in 1987...
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Forecasting and Assessing Risk of Individual Electricity Peaks
...
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Statistical Learning and Sequential Prediction
...
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Vectorization of linear discrete filtering algorithms
First published in 1977...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Problem Solving with Algorithms and Data Structures
...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Digital signal compression : principles and practice
"With clear and easy-to-understand explanations, this book covers the fundamental concepts and coding methods of signal compression, whilst still retaining technical depth and rigor. It contains a wea...
View Book →Modeling and optimization of LCD optical performance
"The aim of this book is to present the theoretical foundations of modeling the optical characteristics of liquid crystal displays, critically reviewing modern modeling methods and examining areas of ...
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Algorithmic Graph Theory and Sage
...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Elements of causal inference : foundations and learning algorithms
Includes bibliographical references (pages 235-262) and index. Description based on print version record; resource not viewed....
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Monte Carlo Simulation for Lasso-Type Problems by Estimator Augmentation
Regularized linear regression under the $\ell_1$ penalty, such as the Lasso, has been shown to be effective in variable selection and sparse modeling. The sampling distribution of an $\ell_1$-penalize...
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Utilizing mechanical linear transducers for the determination of a mining machine's position and hea
Includes bibliographical references. Also available in digital form. *fn03 010 020 08-28-90...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Direct Polarization for q-ary Source and Channel Coding
It has been shown that an extension of the basic binary polar transformation also polarizes over finite fields. With it the direct encoding of q-ary sources and channels is a process that can be imple...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Bayesian Methods in the Search for MH370
...
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Computing stochastic dynamic economic models with a large number of state variables a description an
"We describe a sparse grid collocation algorithm to compute recursive solutions of dynamic economies with a sizable number of state variables. We show how powerful this method may be in applications ...
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Data Structures and Algorithms
Annotated Reference with Examples...
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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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Iterative Gaussianization: from ICA to Random Rotations
Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this work, we propose a solution to this problem by using a family of...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
View Book →Handbook of microwave component measurements : with advanced VNA techniques
"A practical guide to the most modern techniques for microwave measurements Handbook of Microwave Component Measurements is a complete reference to this topic, focusing on the modern measurement tools...
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Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and C
In this paper, we present GASG21 (Grassmannian Adaptive Stochastic Gradient for $L_{2,1}$ norm minimization), an adaptive stochastic gradient algorithm to robustly recover the low-rank subspace from a...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Markov-Switching structural vector autoregressions theory and application
"This paper develops a new and easily implementable necessary and sufficient condition for the exact identification of a Markov-switching structural vector autoregression (SVAR) model. The theorem app...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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The impact of vector and parallel architectures on the Gaussian elimination algorithm
First published in 1990...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Data structures and algorithm analysis in C
First published in 1993...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Authenticated image encryption using robust chaotic maps and enhanced advanced encryption standard
The ability of advanced encryption standard (AES) algorithm to protect information systems has given cryptography a new dimension. Recent encryption approaches to enhance randomness include the use of...
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Social learning and monetary policy rules
"We analyze the effects of social learning in a widely-studied monetary policy context. Social learning might be viewed as more descriptive of actual learning behavior in complex market economies. I...
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Randomization for Markov chains with applications to networks in a random environment
We develop randomized modifications of Markov chains and apply these modifications to the routing chains of customers in Jacksonian stochastic networks. The aim of our investigations is to find new re...
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Representation Learning for Natural Language Processing
...
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Think Data Structures
Algorithms and Information Retrieval in Java...
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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...
View Book →Nonlinear inverse problems in imaging
"This book provides researchers and engineers in the imaging field with the skills they need to effectively deal with nonlinear inverse problems associated with different imaging modalities, including...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Differentially Private Empirical Risk Minimization
Privacy-preserving machine learning algorithms are crucial for the increasingly common setting in which personal data, such as medical or financial records, are analyzed. We provide general techniques...
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Computer and Information Sciences
31st International Symposium, ISCIS 2016, Kraków, Poland, October 27–28, 2016, Proceedings...
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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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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Graph Algorithms
Practical Examples in Apache Spark and Neo4j...
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Decomposition Techniques for Bilinear Saddle Point Problems and Variational Inequalities with Affine
The majority of First Order methods for large-scale convex-concave saddle point problems and variational inequalities with monotone operators are proximal algorithms which at every iteration need to m...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
View Book →ceze-strauss-dnastorage-LoC-DSA18-public
Getting Polymers to Tell a Story: Scaling up DNA Data Storage and Functionality Luis Ceze and Karin Strauss Molecular Information Systems Lab joint work with Georg Seelig, Doug Carmean, Sergey Yekhani...
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2D Game Development: From Zero to Hero
A compendium of the community knowledge on game design and development...
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Multiway spectral community detection in networks
One of the most widely used methods for community detection in networks is the maximization of the quality function known as modularity. Of the many maximization techniques that have been used in this...
View Book →Optimal modified continuous Galerkin CFD
"Covers the theory and applications of using weak form theory in incompressible fluid-thermal sciences Giving you a solid foundation on the Galerkin finite-element method (FEM), this book promotes the...
View Book →Advances in neural networks--ISNN 2007 : 4th International Symposium on Neural Networks, ISNN 2007,
Includes bibliographical references and indexes. Also issued online....
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On Fast Decoding of High Dimensional Signals from One-Bit Measurements
In the problem of one-bit compressed sensing, the goal is to find a $\delta$-close estimation of a $k$-sparse vector $x \in \mathbb{R}^n$ given the signs of the entries of $y = \Phi x$, where $\Phi$ i...
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Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2020...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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DTIC ADA1022300: Generation of k-ary Trees. Extended Abstract
The problem of generating ordered trees was studied rather extensively in the recent literatures. As in all problems concerning the generation of a set of combinatorial objects, there are three major ...
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Biodiversity and Health in the Face of Climate Change
...
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Support vector machines and their application in chemistry and biotechnology
First published in 2011...
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A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems
Recently, graphics processors (GPUs) have been increasingly leveraged in a variety of scientific computing applications. However, architectural differences between CPUs and GPUs necessitate the develo...
View Book →Structural Geology Algorithms
First published in 2011...
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Support Vector Machines Applications
First published in 2014...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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An introduction to support vector machines
First published in 2000...
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Mobile ad hoc networks : current status and future trends
"3 Chapter 1 Mobile Ad hoc Network Jonathan Loo, Shafiullah Khan, and Ali Naser Al-Khwildi 1.1 Introduction Wireless industry has seen exponential growth in the last few years. The advancement in grow...
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An introduction to computer science
First published in 1979...
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Signal Computing
Digital Signals in the Software Domain...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
View Book →C++ primer
Includes index. Includes bibliographical references and index....
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Solving PDEs in Python
The FEniCS Tutorial I...
View Book →Spacecraft dynamics and control : an introduction
"Provides the basics of spacecraft orbital dynamics plus attitude dynamics and control, using vectrix notationSpacecraft Dynamics and Control: An Introduction presents the fundamentals of classical co...
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Optilization of the gyroaverage operator based on hermite interpolation
Gyrokinetic modeling is appropriate for describing Tokamak plasma turbulence, and the gyroaverage operator is a cornerstone of this approach. In a gyrokinetic code, the gyroaveraging scheme needs to b...
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Teaching and Learning About Whole Numbers in Primary School
...
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Least squares support vector machines
First published in 2002...
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Algorithms for parallel and vector computations
First published in 1995...
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Algorithms for Decision Making
...
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Variant Construction from Theoretical Foundation to Applications
...
View Book →Knowledge Discovery with Support Vector Machines
First published in 2009...
View Book →Clustering
Includes bibliographical references (p. 293-330) and indexes....
View Book →Numerical linear algebra with applications : using MATLAB
Designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, Numerical Linear Algebra with Applications contains ...
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Low-Complexity Quaternion Adaptive Filters
A general representation of the quaternion gradients presented in the literature is proposed, and an universal update equation for QLMS-like algorithms is obtained. The general update law is used to s...
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Computing minimal interpolation bases
We consider the problem of computing univariate polynomial matrices over a field that represent minimal solution bases for a general interpolation problem, some forms of which are the vector M-Pad\'e ...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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