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Hybrid security in AOMDV routing protocol with improved salp swarm algorithm in wireless sensor netw
During these years the current trends shows a fast expansion in the field of wireless sensor network (WSN) based applications. Due to this much vulnerability are created and also coverage optimization...
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Statistical Learning and Sequential Prediction
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Online Supervised Subspace Tracking
We present a framework for supervised subspace tracking, when there are two time series $x_t$ and $y_t$, one being the high-dimensional predictors and the other being the response variables and the su...
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Solving PDEs in Python
The FEniCS Tutorial I...
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A Graduate Course in Applied Cryptography
The indispensable tool used to protect information in computing systems...
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The Art of SEO
Mastering Search Engine Optimization...
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Streamed Learning: One-Pass SVMs
We present a streaming model for large-scale classification (in the context of $\ell_2$-SVM) by leveraging connections between learning and computational geometry. The streaming model imposes the cons...
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Mathematical Logic and Its Applications 2020
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Foundations of Trusted Autonomy
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Deterministic Discrepancy Minimization via the Multiplicative Weight Update Method
A well-known theorem of Spencer shows that any set system with $n$ sets over $n$ elements admits a coloring of discrepancy $O(\sqrt{n})$. While the original proof was non-constructive, recent progress...
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Data Structures and Algorithms
Annotated Reference with Examples...
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CS Unplugged
An enrichment and extension programme for primary-aged students...
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Understanding Machine Learning
From Theory to Algorithms...
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Graph Databases
New Opportunities for Connected Data...
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Partial Correlation Screening for Estimating Large Precision Matrices, with Applications to Classifi
We propose Partial Correlation Screening (PCS) as a new row-by-row approach to estimating a large precision matrix $\Omega$. To estimate the $i$-th row of $\Omega$, $1 \leq i \leq p$, PCS uses a Scree...
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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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Adaptive Component-wise Multiple-Try Metropolis Sampling
One of the most widely used samplers in practice is the component-wise Metropolis-Hastings (CMH) sampler that updates in turn the components of a vector valued Markov chain using accept-reject moves g...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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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 ...
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Teaching and Learning About Whole Numbers in Primary School
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Online Learning to Rank with Feedback at the Top
We consider an online learning to rank setting in which, at each round, an oblivious adversary generates a list of $m$ documents, pertaining to a query, and the learner produces scores to rank the doc...
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Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing
Existing methods for retrieving k-nearest neighbours suffer from the curse of dimensionality. We argue this is caused in part by inherent deficiencies of space partitioning, which is the underlying st...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Signal Computing
Digital Signals in the Software Domain...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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NASA Technical Reports Server (NTRS) 20110011426: Maximizing TDRS Command Load Lifetime
The GNC software onboard ISS utilizes TORS command loads, and a simplistic model of TORS orbital motion to generate onboard TORS state vectors. Each TORS command load contains five "invariant" orbital...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Think Data Structures
Algorithms and Information Retrieval in Java...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Tensor Network Contractions
Methods and Applications to Quantum Many-Body Systems...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning
We consider learning problems over training sets in which both, the number of training examples and the dimension of the feature vectors, are large. To solve these problems we propose the random paral...
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Graph Algorithms
Practical Examples in Apache Spark and Neo4j...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Machine Learning Yearning
Technical Strategy for AI Engineers, In the Era of Deep Learning...
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Computer and Information Sciences
31st International Symposium, ISCIS 2016, Kraków, Poland, October 27–28, 2016, Proceedings...
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Set-Membership Conjugate Gradient Constrained Adaptive Filtering Algorithm for Beamforming
We introduce a new linearly constrained minimum variance (LCMV) beamformer that combines the set-membership (SM) technique with the conjugate gradient (CG) method, and develop a low-complexity adaptiv...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Algorithms for Decision Making
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Software for Exascale Computing - SPPEXA 2016-2019
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Advances in Energy System Optimization
Proceedings of the 2nd International Symposium on Energy System Optimization...
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Foundations of Machine Learning
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Forecasting and Assessing Risk of Individual Electricity Peaks
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DTIC ADA640571: The Sequential Maximum Angle Convex Cone (SMACC) Endmember Model
A new endmember extraction method has been developed that is based on a convex cone model for representing vector data. The endmembers are selected directly from the data set. The algorithm for findin...
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Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2020...
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Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Comm
The paper studies distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and noisy inter-sensor communication. It introduces \emph{separably estimable} o...
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Asynchronous Approximation of a Single Component of the Solution to a Linear System
We present a distributed asynchronous algorithm for approximating a single component of the solution to a system of linear equations $Ax = b$, where $A$ is a positive definite real matrix, and $b \in ...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Parallelizing Word2Vec in Multi-Core and Many-Core Architectures
Word2vec is a widely used algorithm for extracting low-dimensional vector representations of words. State-of-the-art algorithms including those by Mikolov et al. have been parallelized for multi-core ...
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Rhetorical Code Studies
Discovering Arguments in and around Code...
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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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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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NASA Technical Reports Server (NTRS) 20100003598: Updates to Multi-Dimensional Flux Reconstruction f
The quality of simulated hypersonic stagnation region heating with tetrahedral meshes is investigated by using an updated three-dimensional, upwind reconstruction algorithm for the inviscid flux vecto...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Optimization of Process Flowsheets through Metaheuristic Techniques
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Graph Databases For Beginners
The #1 Platform for Connected Data...
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Automated Machine Learning
Methods, Systems, Challenges...
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Algorithmic Graph Theory and Sage
...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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NASA Technical Reports Server (NTRS) 20140007340: Space Launch System Implementation of Adaptive Aug
Given the complex structural dynamics, challenging ascent performance requirements, and rigorous flight certification constraints owing to its manned capability, the NASA Space Launch System (SLS) lau...
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A Faster Algorithm for Asymptotic Communication for Omniscience
We propose a modified decomposition algorithm (MDA) to solve the asymptotic communication for omniscience (CO) problem where the communication rates could be real or fractional. By starting with a low...
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Lower Bounds and Algorithm for Partially Replicated Causally Consistent Shared Memory
Distributed shared memory systems maintain multiple replicas of the shared memory locations. Maintaining causal consistency in such systems has received significant attention in the past. However, muc...
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Advances in Web-age information management : 7th International Conference, WAIM 2006, Hong Kong, Chi
1 online resource (xvii, 606 pages) :...
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