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Understanding Machine Learning
From Theory to Algorithms...
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Information and dimensionality of anisotropic random geometric graphs
This paper deals with the problem of detecting non-isotropic high-dimensional geometric structure in random graphs. Namely, we study a model of a random geometric graph in which vertices correspond to...
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Crop prediction using an enhanced stacked ensemble machine learning model
In India, agriculture is a major sector that fulfils the population's food requirements and significantly contributes to the gross domestic product (GDP). The careful selection of crops is fundamental...
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Statistical Learning and Sequential Prediction
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Computer simulation of random variables and vectors with arbitrary probability distribution laws
First published in 1981...
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An evolutionary- convolutional neural network for fake image detection
The fast development in deep learning techniques, besides the wide spread of social networks, facilitated fabricating and distributing images and videos without prior knowledge. This paper developed a...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Signal Computing
Digital Signals in the Software Domain...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Limit Distributions for Sums of Independent Random Vectors
First published in 2001...
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Geometrical aspects of measures of dependence for random vectors
First published in 1988...
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Star Wars - The New Jedi Order - Vector Prime
First published in 1999...
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ERIC ED137370: The Cross-Cultural Stability of Mental Test Items. An Investigation of Response Patte
A national random sample of over 14,000 high school seniors was studied with respect to socio-cultural differences in responses to cognitive test items. Six different cognitive tests and ten different...
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Variant Construction from Theoretical Foundation to Applications
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Vertex Operators and Moduli Spaces of Sheaves
The Nekrasov partition function in supersymmetric quantum gauge theory is mathematically formulated as an equivariant integral over certain moduli spaces of sheaves on a complex surface. In ``Seiberg-...
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Phase Retrieval via Incremental Truncated Wirtinger Flow
In the phase retrieval problem, an unknown vector is to be recovered given quadratic measurements. This problem has received considerable attention in recent times. In this paper, we present an algori...
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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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The Brownian Motion
A Rigorous but Gentle Introduction for Economists...
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Planar Maps, Random Walks and Circle Packing
École d'Été de Probabilités de Saint-Flour XLVIII - 2018...
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Biodiversity and Health in the Face of Climate Change
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Decomposition of random variables and vectors
First published in 1977...
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Foundations of Machine Learning
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On the distribution of the length of a spherical random vector
First published in 1988...
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PivotCompress: Compression by Sorting
Sorted data is usually easier to compress than unsorted permutations of the same data. This motivates a simple compression scheme: specify the sorted permutation of the data along with a representatio...
View Book →Worked Examples in Vectors
First published in 1970...
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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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Vector de Marco Paulli
First published in 2017...
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The Challenge of Chance
A Multidisciplinary Approach from Science and the Humanities...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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An Invitation to Statistics in Wasserstein Space
...
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Implementation of innovative deep learning techniques in smart power systems
The integration of deep learning techniques into smart power systems has gained significant attention due to their potential to optimize energy management, enhance grid reliability, and enable efficie...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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The Haskell School of Music
From Signals to Symphonies...
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The computer generation of discrete random variables and vectors
First published in 1979...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Appr
We propose a method for inferring the conditional independence graph (CIG) of a high-dimensional Gaussian vector time series (discrete-time process) from a finite-length observation. By contrast to ex...
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Intersecting families of discrete structures are typically trivial
The study of intersecting structures is central to extremal combinatorics. A family of permutations $\mathcal{F} \subset S_n$ is \emph{$t$-intersecting} if any two permutations in $\mathcal{F}$ agree ...
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Large-deviation theorems for sums of independent and identically distributed random vectors
First published in 2005...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Limit theorems for sums of dependent random vectors in R[superscript d]
First published in 1977...
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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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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Linear Selection Indices in Modern Plant Breeding
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Bayesian Methods in the Search for MH370
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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A hybrid extreme machine learning model for predicting heart disease
Heart disease (HD), the leading cause of death for adults over 65, can affect anyone at any time. Additionally, modern lifestyles, poor diets, and other factors have led to an increased risk of HD amo...
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Shadow couplings
A classical result of Strassen asserts that given probabilities $\mu, \nu$ on the real line which are in convex order, there exists a \emph{martingale coupling} with these marginals, i.e.\ a random ve...
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Fault detection in single-hop and multi-hop wireless sensor networks using a deep learning algorithm
The wireless sensor network (WSN) has received significant recognition for its positive impact on environmental monitoring, yet its reliability remains prone to faults. Common factors contributing to ...
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Pseudocontinuation and cyclicity for random power series
We prove that a random function in the Hardy space $H^2$ is a non-cyclic vector for the backward shift operator almost surely. The question of existence of a local pseudocontinuation for a random anal...
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Sum-of-squares lower bounds for planted clique
Finding cliques in random graphs and the closely related "planted" clique variant, where a clique of size k is planted in a random G(n, 1/2) graph, have been the focus of substantial study in algorith...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Enhancing stroke prediction using the waikato environment for knowledge analysis
State-of-the-art data mining tools incorporate advanced machine learning (ML) and artificial intelligence (AI) models, and it is widely used in classification, association rules, clustering, predictio...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Algorithmic Graph Theory and Sage
...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Small deviations of stable processes and entropy of the associated random operators
We investigate the relation between the small deviation problem for a symmetric $\alpha$-stable random vector in a Banach space and the metric entropy properties of the operator generating it. This ge...
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Research on Teaching and Learning Probability
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A new perspective on least squares under convex constraint
Consider the problem of estimating the mean of a Gaussian random vector when the mean vector is assumed to be in a given convex set. The most natural solution is to take the Euclidean projection of th...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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10 PRINT CHR$(205.5+RND(1)); : GOTO 10
A single line of code offers a way to understand the cultural context of computing...
View Book →Ind-additive functionals on random vectors
First published in 1970...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
View Book →An introduction to random variables, random vectors and stochastic processes
First published in 2019...
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Random Insertion of mCherry Into VP3 Domain of Adeno-associated Virus Yields Fluorescent Capsids Wit
This article is from Molecular Therapy. Nucleic Acids , volume 1 . Abstract Adeno-associated virus (AAV)-derived vectors are promising gene delivery systems, and a number of design strategies have bee...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Means and variances of stochastic vector products with applications to random linear models
First published in 1977...
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A comparison of methods for generating multivariate normal random vectors
First published in 1970...
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Demagnetization Treatment of Remanent Composite Microspheres Studied by Alternating Current Suscepti
This article is from International Journal of Molecular Sciences , volume 14 . Abstract The magnetic remanence of silica microspheres with a low concentration of embedded cobalt ferrite nanoparticles ...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Finite Difference Computing with PDEs
A Modern Software Approach...
View Book →Bounds for the concentration function of a sum of independent random vectors with values in Euclidea
First published in 1975...
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