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Architecting Scalable Micro Services for High-Traffic E-commerce Platforms
In the past decade, Artificial Intelligence (AI) has become a revolutionary power in the solar energy industry, dealing with essential issues related to intermittency, resource forecasting, efficiency...
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Multiplicative updates For Non-Negative Kernel SVM
We present multiplicative updates for solving hard and soft margin support vector machines (SVM) with non-negative kernels. They follow as a natural extension of the updates for non-negative matrix fa...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Optimizing affinity-based binary hashing using auxiliary coordinates
In supervised binary hashing, one wants to learn a function that maps a high-dimensional feature vector to a vector of binary codes, for application to fast image retrieval. This typically results in ...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Multilevel Modelling for Public Health and Health Services Research
Health in Context...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Graph Algorithms
Practical Examples in Apache Spark and Neo4j...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Statistical ranking and combinatorial Hodge theory
We propose a number of techniques for obtaining a global ranking from data that may be incomplete and imbalanced -- characteristics almost universal to modern datasets coming from e-commerce and inter...
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Protein-specific prediction of mRNA binding using RNA sequences, binding motifs and predicted second
This article is from BMC Bioinformatics , volume 15 . Abstract Background: RNA-binding proteins interact with specific RNA molecules to regulate important cellular processes. It is therefore necessary...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Fundamentals of Clinical Data Science
...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Handbook of Vascular Biometrics
...
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Parallelized Tensor Train Learning of Polynomial Classifiers
In pattern classification, polynomial classifiers are well-studied methods as they are capable of generating complex decision surfaces. Unfortunately, the use of multivariate polynomials is limited to...
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Data-Driven Policy Impact Evaluation
How Access to Microdata is Transforming Policy Design...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Linear Selection Indices in Modern Plant Breeding
...
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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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Artificial Intelligence in Medical Imaging
Opportunities, Applications and Risks...
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Semantic Systems. The Power of AI and Knowledge Graphs
15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings...
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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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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Understanding Machine Learning
From Theory to Algorithms...
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Jagrukta: SVM-Based Disaster Forecasting System
This paper introduces Jagrukta, an intelligent disaster management and early warning system that leverages a Support Vector Machine (SVM) model trained on historical weather and geophysical data to pr...
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Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification
Probabilistic k-nearest neighbour (PKNN) classification has been introduced to improve the performance of original k-nearest neighbour (KNN) classification algorithm by explicitly modelling uncertaint...
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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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Automated Machine Learning
Methods, Systems, Challenges...
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Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation
In the traditional object recognition pipeline, descriptors are densely sampled over an image, pooled into a high dimensional non-linear representation and then passed to a classifier. In recent years...
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Computational Conflict Research
...
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Document image classification, with a specific view on applications of patent images
The main focus of this paper is document image classification and retrieval, where we analyze and compare different parameters for the RunLeght Histogram (RL) and Fisher Vector (FV) based image repres...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Bayesian Methods in the Search for MH370
...
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Holographic Embeddings of Knowledge Graphs
Learning embeddings of entities and relations is an efficient and versatile method to perform machine learning on relational data such as knowledge graphs. In this work, we propose holographic embeddi...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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DTIC AD1037658: ACTIVE: Activity Concept Transitions in Video Event Classification (Open Access)
The goal of high level event classification from videos is to assign a single, high level event label to each query video. Traditional approaches represent each video as a set of low level features an...
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Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Library and Information Sciences
Trends and Research...
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Large-Scale Cognitive Assessment
Analyzing PIAAC Data...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Predition Model for Stock Price on Big Data Analytics
Prediction in the stock market is very challenging in these days. Large datasets available from Twitter micro blogging platform and widely available stock market records. Machine learning was employ t...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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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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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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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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Latent Feature Based FM Model For Rating Prediction
Rating Prediction is a basic problem in Recommender System, and one of the most widely used method is Factorization Machines(FM). However, traditional matrix factorization methods fail to utilize the ...
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Biodiversity and Health in the Face of Climate Change
...
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Interpretable Machine Learning
A Guide for Making Black Box Models Explainable...
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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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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Cluster based RBF Kernel for Support Vector Machines
In the classical Gaussian SVM classification we use the feature space projection transforming points to normal distributions with fixed covariance matrices (identity in the standard RBF and the covari...
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Domain Adaptation with L2 constraints for classifying images from different endoscope systems
This paper proposes a method for domain adaptation that extends the maximum margin domain transfer (MMDT) proposed by Hoffman et al., by introducing L_2 distance constraints between samples of differe...
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Designing Event-Driven Systems
Concepts and Patterns for Streaming Services with Apache Kafka...
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LCNN: Low-level Feature Embedded CNN for Salient Object Detection
In this paper, we propose a novel deep neural network framework embedded with low-level features (LCNN) for salient object detection in complex images. We utilise the advantage of convolutional neural...
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Variant Construction from Theoretical Foundation to Applications
...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Signal Computing
Digital Signals in the Software Domain...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Cloud-Based Benchmarking of Medical Image Analysis
...
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Foundations of Machine Learning
...
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