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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Understanding Machine Learning
From Theory to Algorithms...
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Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2018...
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Approximation of Lyapunov Functions from Noisy Data
Methods have previously been developed for the approximation of Lyapunov functions using radial basis functions. However these methods assume that the evolution equations are known. We consider the pr...
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Lasso and equivalent quadratic penalized models
The least absolute shrinkage and selection operator (lasso) and ridge regression produce usually different estimates although input, loss function and parameterization of the penalty are identical. In...
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Variant Construction from Theoretical Foundation to Applications
...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Support vector machines and their application in chemistry and biotechnology
First published in 2011...
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Neutralized Empirical Risk Minimization with Generalization Neutrality Bound
Currently, machine learning plays an important role in the lives and individual activities of numerous people. Accordingly, it has become necessary to design machine learning algorithms to ensure that...
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Support Vector Machines Applications
First published in 2014...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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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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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Twin Support Vector Machines
First published in 2016...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Python Machine Learning Projects
...
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Vector control of three-phase AC machines
First published in 2008...
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Support vector machine in chemistry
First published in 2004...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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An introduction to support vector machines
First published in 2000...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Machine Learning Yearning
Technical Strategy for AI Engineers, In the Era of Deep Learning...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Probabilistic Modelling of Morphologically Rich Languages
This thesis investigates how the sub-structure of words can be accounted for in probabilistic models of language. Such models play an important role in natural language processing tasks such as transl...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Fast Multilevel Support Vector Machines
Solving different types of optimization models (including parameters fitting) for support vector machines on large-scale training data is often an expensive computational task. This paper proposes a m...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Asynchronous Complex Analytics in a Distributed Dataflow Architecture
Scalable distributed dataflow systems have recently experienced widespread adoption, with commodity dataflow engines such as Hadoop and Spark, and even commodity SQL engines routinely supporting incre...
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The Big Book of Machine Learning Use Cases
Your complete how-to guide to putting ML to work - plus code samples and notebooks...
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Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
Data in the form of pairwise comparisons arises in many domains, including preference elicitation, sporting competitions, and peer grading among others. We consider parametric ordinal models for such ...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data
Good results on image classification and retrieval using support vector machines (SVM) with local binary patterns (LBPs) as features have been extensively reported in the literature where an entire im...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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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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Support Vector Machines for Pattern Classification
First published in 2005...
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Bayesian Methods in the Search for MH370
...
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Linear Selection Indices in Modern Plant Breeding
...
View Book →Regularization, Optimization, Kernels, and Support Vector Machines
First published in 2014...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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VB calibration to improve the interface between phone recognizer and i-vector extractor
The EM training algorithm of the classical i-vector extractor is often incorrectly described as a maximum-likelihood method. The i-vector model is however intractable: the likelihood itself and the hi...
View Book →Knowledge Discovery with Support Vector Machines
First published in 2009...
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Word, graph and manifold embedding from Markov processes
Continuous vector representations of words and objects appear to carry surprisingly rich semantic content. In this paper, we advance both the conceptual and theoretical understanding of word embedding...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Norm-Free Radon-Nikodym Approach to Machine Learning
For Machine Learning (ML) classification problem, where a vector of $\mathbf{x}$--observations (values of attributes) is mapped to a single $y$ value (class label), a generalized Radon--Nikodym type o...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Context-Dependent Word Representation for Neural Machine Translation
We first observe a potential weakness of continuous vector representations of symbols in neural machine translation. That is, the continuous vector representation, or a word embedding vector, of a sym...
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Biodiversity and Health in the Face of Climate Change
...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Heart disease prediction optimization using metaheuristic algorithms
This study explores metaheuristics hyperparameter tuning effectiveness in machine learning models for heart disease prediction. The optimized models are k-nearest neighbors (KNN) and support vector ma...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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ARX Δ Null Vector
Null Vector. Governance system from the year 2038...
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Energy Disaggregation for Real-Time Building Flexibility Detection
Energy is a limited resource which has to be managed wisely, taking into account both supply-demand matching and capacity constraints in the distribution grid. One aspect of the smart energy managemen...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Signal Computing
Digital Signals in the Software Domain...
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Detection of Cervical Cancer using ML Algorithms
Cervical cancer is one of the leading causes of cancer-related deaths among women worldwide, particularly in low- and middle-income regions where access to regular screening and early diagnostic servi...
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Brachiaria species identification using imaging techniques based on fractal descriptors
The use of a rapid and accurate method in diagnosis and classification of species and/or cultivars of forage has practical relevance, scientific and trade in various areas of study. Thus, leaf samples...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Best-of-K Bandits
This paper studies the Best-of-K Bandit game: At each time the player chooses a subset S among all N-choose-K possible options and observes reward max(X(i) : i in S) where X is a random vector drawn f...
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Automated Machine Learning
Methods, Systems, Challenges...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Representation Learning for Natural Language Processing
...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Algorithmic Graph Theory and Sage
...
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Least squares support vector machines
First published in 2002...
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Defense against the Black Arts
How Hackers Do What They Do and How to Protect against It...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Twin-Control
A Digital Twin Approach to Improve Machine Tools Lifecycle...
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Foundations of Machine Learning
...
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Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling
The beta-negative binomial process (BNBP), an integer-valued stochastic process, is employed to partition a count vector into a latent random count matrix. As the marginal probability distribution of ...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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