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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Precise Tail Asymptotics for Attracting Fixed Points of Multivariate Smoothing Transformations
Given $d \ge 1$, let $(A_i)_{i\ge 1}$ be a sequence of random $d\times d$ real matrices and $Q$ be a random vector in $\mathbb{R}^d$. We consider fixed points of multivariate smoothing transforms, i.e...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Precise Large Deviation Results for Products of Random Matrices
The theorem of Furstenberg and Kesten provides a strong law of large numbers for the norm of a product of random matrices. This can be extended under various assumptions, covering nonnegative as well ...
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Signal Computing
Digital Signals in the Software Domain...
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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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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Massless Spectra of Three Generation U(N) Heterotic String Vacua
We provide the methods to compute the complete massless spectra of a class of recently introduced supersymmetric E8 x E8 heterotic string models which invoke vector bundles with U(N) structure group o...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Anisotropy Across Fields and Scales
...
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A comparative study of the svm and k-nn machine learning algorithms for the diagnosis of respiratory
This article is from BMC Bioinformatics , volume 15 . Abstract Background: Pulmonary acoustic parameters extracted from recorded respiratory sounds provide valuable information for the detection of re...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Pre-main sequence binaries with aligned disks ?
We present the results of a study performed with the goal to investigate whether low-mass pre-main sequence binary stars are formed by multiple fragmentation or via stellar capture. If binaries form p...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Hierarchical learning in polynomial Support Vector Machines
We study the typical properties of polynomial Support Vector Machines within a Statistical Mechanics approach that allows us to analyze the effect of different normalizations of the features. If the n...
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Wrapper-based selection of genetic features in genome-wide association studies through fast matrix o
This article is from Algorithms for Molecular Biology : AMB , volume 7 . Abstract Background: Through the wealth of information contained within them, genome-wide association studies (GWAS) have the p...
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An Efficient Training Algorithm for Kernel Survival Support Vector Machines
Survival analysis is a fundamental tool in medical research to identify predictors of adverse events and develop systems for clinical decision support. In order to leverage large amounts of patient da...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth
We present an application of the Layer-wise Relevance Propagation (LRP) algorithm to state of the art deep convolutional neural networks and Fisher Vector classifiers to compare the image perception a...
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Developing Graphics Frameworks with Python and OpenGL
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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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Existence of very weak solutions to elliptic systems of p-Laplacian type
We study vector valued solutions to non-linear elliptic partial differential equations with $p$-growth. Existence of a solution is shown in case the right hand side is the divergence of a function whi...
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Survey of vector-like fermion extensions of the Standard Model and their phenomenological implicatio
With the renewed interest in vector-like fermion extensions of the Standard Model, we present here a study of multiple vector-like theories and their phenomenological implications. Our focus is mostly...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Foundations of Machine Learning
...
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Stochastic determination of matrix determinants
Matrix determinants play an important role in data analysis, in particular when Gaussian processes are involved. Due to currently exploding data volumes, linear operations - matrices - acting on the d...
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On short recurrence Krylov type methods for linear systems with many right-hand sides
Block and global Krylov subspace methods have been proposed as methods adapted to the situation where one iteratively solves systems with the same matrix and several right hand sides. These methods ar...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Representation Learning for Natural Language Processing
...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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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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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
View Book →Foundations of Vector Retrieval
First published in 2024...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Bayesian Methods in the Search for MH370
...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Spectator scattering at NLO in non-leptonic B decays: Leading penguin amplitudes
We complete the computation of the 1-loop (alpha_s^2) corrections to hard spectator scattering in non-leptonic B decays at leading power in Lambda/m_b by evaluating the penguin amplitudes. This extend...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Identifying and Categorizing Anomalies in Retinal Imaging Data
The identification and quantification of markers in medical images is critical for diagnosis, prognosis and management of patients in clinical practice. Supervised- or weakly supervised training enabl...
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Linear Selection Indices in Modern Plant Breeding
...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Algorithmic Graph Theory and Sage
...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Biodiversity and Health in the Face of Climate Change
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Software for Exascale Computing - SPPEXA 2016-2019
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Stable feature selection and classification algorithms for multiclass microarray data.
This article is from Biology Direct , volume 7 . Abstract Background: Recent studies suggest that gene expression profiles are a promising alternative for clinical cancer classification. One major pro...
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Dispersive analysis of omega --> 3pi and phi --> 3pi decays
We study the three-pion decays of the lightest isoscalar vector mesons, omega and phi, in a dispersive framework that allows for a consistent description of final-state interactions between all three ...
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Understanding Machine Learning
From Theory to Algorithms...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Generalization properties of finite size polynomial Support Vector Machines
The learning properties of finite size polynomial Support Vector Machines are analyzed in the case of realizable classification tasks. The normalization of the high order features acts as a squeezing ...
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Variant Construction from Theoretical Foundation to Applications
...
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The role of Spectator Fragments at an electron Ion collider
Efficient detection of spectator fragments is key to the main topics at an electron-ion collider (eIC). Any process which leads to emission of fragments or $\gamma$'s breaks coherence in diffractive p...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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