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Предотвращение коррупции – совместные инициативы редакции журнала «Право и современные государства» и Министерства образования и науки Российской Федерации

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TLDR
In this article, the authors proposed a method to solve the problem of the lack of a sufficient number of translational data points in the context of data mining, and they proposed an algorithm to find the optimal set of data points for each user.
Abstract
Направление подготовки Информатика и вычислительная техника Код направления и уровня подготовки 09.06.01 Уровень образования Подготовка кадров высшей квалификации Квалификация, присваиваемая выпускнику Исследователь. Преподаватель исследователь Реквизиты приказа Минобрнауки РФ об утверждении ФГОС ВО: от 30.07.2014 г. No 875 с изменениями и дополнениями от 30 апреля 2015 г. ФГОС ВО 09.06.01 Информатика и вычислительная техника

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评《Oxford Advanced Learner’s Dictionary of Current English》第五版

刘江雪
TL;DR: It’s time to get used to the idea that words can have meanings.

Curriculum development in language teaching

TL;DR: In this article, the authors proposed a method to solve the problem of the lack of a sufficient number of translational data points for a given task by using the UML-based approach.
Journal ArticleDOI

Reviews of Modern Physics

TL;DR: In this paper, Belitz et al. presented a survey of the state-of-the-art in condensed-matter physics, focusing on the following papers: Condensed Matter Physics (Theoretical) J. IGNACIO CIRAC, Max-Planck-Institut für Quantenoptik Quantum Information RAYMOND E. GOLDSTEIN, University of Cambridge Biological Physics ARTHUR F. HEBARD and DAVID D. KAMIEN.
References
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Journal ArticleDOI

LIBSVM: A library for support vector machines

TL;DR: Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
Book

The Nature of Statistical Learning Theory

TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?

Statistical learning theory

TL;DR: Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.
Book

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

TL;DR: This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory, and will guide practitioners to updated literature, new applications, and on-line software.
Book

Solving least squares problems

TL;DR: Since the lm function provides a lot of features it is rather complicated so it is going to instead use the function lsfit as a model, which computes only the coefficient estimates and the residuals.