Обсуждение:Численные методы обучения по прецедентам (практика, В.В. Стрижов)/Группа 374, весна 2016

Материал из MachineLearning.

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м (Новая: == Лекция 1 == # [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/1_Top_conferences_machinelearning.pdf?format=raw Список]топовых конфере...)
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== Лекция 1 ==
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/1_Top_conferences_machinelearning.pdf?format=raw Список]топовых конференций в области машинного обучения.
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/2_High_IF_ScientificJournals.pdf?format=raw Список] зарубежных журналов с высоким импакт-фактором.
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/3_Low_IF_Journals.pdf?format=raw Список] зарубежных журналов с низким импакт-фактором
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/4_VAK_Recommended.pdf?format=raw Список] рекомендуемых журналов ВАК.
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/5_VAK_IAD_2012.pdf?format=raw Список] журналов, принимающих статьи по тематике курса.
 
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# Краткое [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/6_Strijov2014MLCourseShort.pdf?format=raw| описание] курса.
 
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# Описание результатов курса за период с 2008 по 2014 год: [[Медиа:Motrenko2014MLEducation.pdf‎| статья]].
 
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#* [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/7a_LinkReviewDensityforecasting.pdf?format=raw Пример] обзора литературы в формате LinkReview.
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/8_article-processing.pdf?format=raw Схема] процедуры рецензирования.
 
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# Примеры написания формального введения к квалификационной работе [http://svn.code.sf.net/p/mvr/lectures/4thYear/Lecture1/9a_ThesisIntro.pdf?format=raw], [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/9b_AutoreferatIntro.pdf?format=raw].
 
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# Примеры
 
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## отзывов рецензентов: [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/r1_Reviewer_PCA_NN.pdf?format=raw], [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/r2_Reviewer_Belsley?format=raw], [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/r3_Review_Ranking.pdf?format=raw]
 
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## ответов на отзывы рецензентов: [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/r4_Reviewer_Gait.pdf?format=raw], [https://sourceforge.net/p/mvr/lectures/code/HEAD/tree/4thYear/Lecture1/r5_Reviewer_Report_on_the_manuscript_correction.pdf?format=raw]
 
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## корректуры статьи [https://sourceforge.net/p/mvr/lectures/code/HEAD/tree/4thYear/Lecture1/r6_CorrectionSample.pdf?format=raw].
 
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== Lecture 1 ==
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/1_Top_conferences_machinelearning.pdf?format=raw List] of top Machine Learninng conferences.
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/2_High_IF_ScientificJournals.pdf?format=raw List] of international journals with hgh IF.
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/3_Low_IF_Journals.pdf?format=raw List] of international jounals with low IF.
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/4_VAK_Recommended.pdf?format=raw List] of recommended HAC jounals.
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/5_VAK_IAD_2012.pdf?format=raw List] of jounals that publish articles on course subjects.
 
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# Brief [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/6_Strijov2014MLCourseShort.pdf?format=raw| discription] of the course.
 
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# A detailed discription of course results (from 2008 to 2014): [Motrenko2014MLEducation.pdf].
 
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#* [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/7a_LinkReviewDensityforecasting.pdf?format=raw An example] of literature review presented in the form of LinkReview.
 
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# [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/8_article-processing.pdf?format=raw Scheme] of reviewing procedure.
 
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# Some examples of writing a formal inroduction to qualification papers (Masters or Phd Thesis)[http://svn.code.sf.net/p/mvr/lectures/4thYear/Lecture1/9a_ThesisIntro.pdf?format=raw], [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/9b_AutoreferatIntro.pdf?format=raw].
 
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# Several examples of
 
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## reviewers comments: [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/r1_Reviewer_PCA_NN.pdf?format=raw], [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/r2_Reviewer_Belsley?format=raw], [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/r3_Review_Ranking.pdf?format=raw]
 
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## authors' responses to reviews: [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/4thYear/Lecture1/r4_Reviewer_Gait.pdf?format=raw], [https://sourceforge.net/p/mvr/lectures/code/HEAD/tree/4thYear/Lecture1/r5_Reviewer_Report_on_the_manuscript_correction.pdf?format=raw]
 
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## corrected paper [https://sourceforge.net/p/mvr/lectures/code/HEAD/tree/4thYear/Lecture1/r6_CorrectionSample.pdf?format=raw].
 

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