Обсуждение:Численные методы обучения по прецедентам (практика, В.В. Стрижов)/Группа 174, весна 2014

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м (Новая: {{Main|Machine Learning and Data Analysis (Strijov's practice)}} __NOTOC__ == My first research paper == The course involves Experts, Assistants and Sutudents of the Moscow Institute o...)
м (→Format)
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An '''expert''' guarantees novelty and importance of the paper, suggests the problems, provides data.
An '''expert''' guarantees novelty and importance of the paper, suggests the problems, provides data.
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== Results ==
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{|class="wikitable"
 +
|-
 +
! Author
 +
! Research title
 +
! Link
 +
! Assistant
 +
! HW-1,2
 +
! Code
 +
! Score
 +
! Grade
 +
|-
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|[[Участник:rgazizullina|Gazizullina Rimma]]
 +
|Capacity of railway cargo transportation forecasting
 +
|[http://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Gazizullina2014RailwayForecasting/], [http://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Gazizullina2014RailwayForecasting/doc/Gazizullina2014RailwayForecasting.pdf?format=raw pdf]
 +
|[[Участник:Medvmasha|Stenina Maria]]
 +
|<tex>\frac{15}{15}+\frac{10}{16}</tex>
 +
|[MF]TAI+L+SBR+CV+T>DEH(J)
 +
|16
 +
|10
 +
|-
 +
|[[Участник:Agrinchuk|Grinchul Andrey]]
 +
|Struture Learning
 +
|[http://svn.code.sf.net/p/mlalgorithms/code/Group174/Grinchuk2014StructuredPrediction/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Grinchuk2014StructuredPrediction/doc/Grinchuk2014StructuredPrediction.pdf?format=raw pdf]
 +
|Varfolomeeva Anna
 +
|<tex>\frac{7}{15}+\frac{2}{16}</tex>
 +
|[F]TA+I+LSBR+СV+T+D+E(F)
 +
|14,5
 +
|9
 +
|-
 +
|[[Участник:Aguschin|Guschin Alexander]]
 +
|Inductive model geneneration in information retrieval
 +
|[http://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Guschin2014FeaturesGeneration/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Guschin2014FeaturesGeneration/doc/Guschin2014DocumentRetrieval.pdf?format=raw pdf]
 +
|[[Участник:Mikethehuman|Kuznetsov Mikhail]]
 +
|<tex>\frac{5}{15}+\frac{2}{16}</tex>
 +
|[F]TAI+L+SBRCVTDEHS(F)
 +
|15,5
 +
|9
 +
|-
 +
|[[Участник:Iefimova|Efimova Irina]]
 +
|Differential diagnosis (ECG)
 +
|[http://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Efimova2014DiagnosticsOfDiseases/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Efimova2014DiagnosticsOfDiseases/doc/Efimova2014DiagnosticsOfDiseases.pdf?format=raw pdf]
 +
|[[Участник:Celyh|Celyh Vlada]]
 +
|<tex>\frac{15}{15}+\frac{12}{16}</tex>
 +
|[MF]T+A+I+L+SB++R+CV+TDE+H(J ed)
 +
|17,25
 +
|10
 +
|-
 +
|[[Участник:Azhukov|Zhukov Andrey]]
 +
|Robust university ranking
 +
|[http://svn.code.sf.net/p/mlalgorithms/code/Group174/Zhukov2014UniversityRanking/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Zhukov2014UniversityRanking/doc/Zhukov2014UniversityRanking.pdf?format=raw pdf]
 +
|[[Участник:Mikethehuman|Kuznetsov Mikhail]]
 +
|<tex>\frac{8}{15}+0</tex>
 +
|[F]TAIL+SBRCVTDEHS(F)
 +
|15,25
 +
|9
 +
|-
 +
|[[Участник:Aignatov|Ignatov Andrey]]
 +
|MAbifold learning for quasiperiodic time series forecasting
 +
|[http://svn.code.sf.net/p/mlalgorithms/code/Group174/Ignatov2014ManifoldsTraining/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Ignatov2014ManifoldsTraining/doc/Ignatov2014ManifoldsTraining.pdf?format=raw pdf]
 +
|Ivkin Nkita
 +
|<tex>0+\frac{7}{16}</tex>
 +
|[MF]TA+I+L+S+B+R+C+VTD>E+HS (J if ed)
 +
|18
 +
|10
 +
|-
 +
|[[Участник:Mkarasikov|Karasikov Mikhail]]
 +
|Dimensionality reduction for multi-class learning problems reduced to multiple binary problems
 +
|[http://svn.code.sf.net/p/mlalgorithms/code/Group174/Karasikov2014MulticlassClassification/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Karasikov2014MulticlassClassification/doc/Karasikov2014MulticlassClassification.pdf?format=raw pdf]
 +
|Yu.V. Maximov
 +
|<tex>0+0</tex>
 +
|[MF]TAI+L+SBRC+V+TDESH(J)
 +
|15
 +
|10
 +
|-
 +
|[[Участник:Кулунчаков|Kulunchakov Andrey]]
 +
|Detection of isomorphic structures in essentially nonlinear regression models
 +
|[http://svn.code.sf.net/p/mlalgorithms/code/Group174/Kulunchakov2014IsomorphicStructures/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Kulunchakov2014IsomorphicStructures/doc/Kulunchakov2014IsomorphicStructures.pdf?format=raw pdf]
 +
|Сологуб Роман, [[Участник:Mikethehuman|Kuznetsov Mikhail]]
 +
|<tex>\frac{10}{15}+\frac{14}{16}</tex>
 +
|[F]T+AI+L+S+BR+CVT++D+EHS(J ed-ed)
 +
|17
 +
|10
 +
|-
 +
|[[Участник:Alipatova|Lipatova Anna]]
 +
|Simultaneous Clustering Of A Set Of Time Series And Corresponding Forecasting Models
 +
|[http://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Lipatova2014StructureLearning/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Lipatova2014StructureLearning/doc/Lipatova2014StructureLearning.pdf?format=raw pdf]
 +
|Motrenko Anastasia
 +
|<tex>\frac{8}{15}+\frac{6}{16}</tex>
 +
|[MF]TA+I+LSBR-CVTDE (J when ed)
 +
|14,25
 +
|10
 +
|-
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|[[Участник:Nmakarova|Makarova Anastasia]]
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|Nonlinear forecasting
 +
|[http://svn.code.sf.net/p/mlalgorithms/code/Group174/Makarova2014DynamicTS/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Makarova2014DynamicTS/doc/Makarova2014DynamicTS.pdf?format=raw pdf]
 +
|Motrenko Anastasia
 +
|<tex>0+0</tex>
 +
|[F]TAI-LSB+R-CVTD>E>(F)
 +
|12,75
 +
|9
 +
|-
 +
|[[Участник:Aplavin|Plavin Alexander]]
 +
|Number of topics optimization in probabilistic topic models by sparsing regularizer
 +
|[http://svn.code.sf.net/p/mlalgorithms/code/Group174/Plavin2014TopicsNumberOptimization/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Plavin2014TopicsNumberOptimization/doc/Plavin2014TopicsNumberOptimization.pdf?format=raw pdf]
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|[[Участник:AnyaP|Potapenko Anna]]
 +
|<tex>\frac{13}{15}+\frac{14}{16}</tex>
 +
|[F]T+A+I+L+S+BR++CVTD+>>(?)
 +
|14
 +
|10
 +
|-
 +
|[[Участник:Mpopova|Popova Maria]]
 +
|Selection of optimal physical activity classi�cation model using measurements of accelerometer
 +
|[http://svn.code.sf.net/p/mlalgorithms/code/Group174/Popova2014OptimalModelSelection/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Popova2014OptimalModelSelection/doc/Popova2014OptimalModelSelection.pdf?format=raw pdf]
 +
|[[Участник:Aleksandra.Tokmakova|Tokmakova Alexandra]]
 +
|<tex>\frac{11}{15}+\frac{6}{16}</tex>
 +
|[MF]T+AI+L++SB++R+CV+TD+(JV ed)
 +
|15,25
 +
|10
 +
|-
 +
|[[Участник:Mshvets|Shvets Mikhail]]
 +
|Multimodel interpretation foe sociologic data
 +
|[http://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Shvets2014MultimodelInterpretation/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Shvets2014MultimodelInterpretation/doc/Shvets2014MultimodelInterpretation.pdf?format=raw pdf]
 +
|[[Участник:Aduenko|Aduenko Alexander]]
 +
|<tex>\frac{11}{15}+\frac{4}{16}</tex>
 +
|[M+F]T+A+I+L+S+B+R+CVTD+E(F)
 +
|16,25
 +
|9
 +
|-
 +
|[[Участник:Mshinkevich|Shinkevich Mikhail]]
 +
|On regularization and model robustenss
 +
|[http://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Shinkevich2014RegularizatorsCombination/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Shinkevich2014RegularizatorsCombination/doc/Shinkevich2014RegularizatorsCombination.pdf?format=raw pdf]
 +
| Dudarenko Marina
 +
|<tex>\frac{15}{15}+\frac{9}{16}</tex>
 +
|[MF]T+AIL+S+BR+CV+T+D+E+H(J ed)
 +
|17
 +
|10
 +
|-
 +
<!--
 +
|[[Участник:Avdyukhov|Авдюхов Дмитрий]]
 +
|Метапрогнозирование временных рядов
 +
|[http://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Avdyukhov2014TimeSeriesForecast/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Avdyukhov2014TimeSeriesForecast/doc/Avdyukhov2014TimeSeriesForecast.pdf?format=raw pdf]
 +
|Инякин Андрей, Ивкин Никита
 +
|<tex>\frac{12}{15}+\frac{3}{16}</tex>
 +
|TA0L>
 +
|3
 +
|
 +
|-
 +
|[[Участник:Agizzatullin|Гиззатуллин Анвар]]
 +
|Идентификация человека по изображению радужной оболочки глаза
 +
|
 +
|Матвеев Иван Алексеевич
 +
|<tex>0+0</tex>
 +
|0
 +
|0
 +
|
 +
|-
 +
|[[Участник:Akostjuk|Костюк Анна]]
 +
|Построение прогностических моделей как суперпозиций экспертно-заданных функций
 +
|[http://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Kostyuk2014ExpertFunctionForecast/], [http://svn.code.sf.net/p/mlalgorithms/code/Group174/Kostyuk2014ExpertFunctionForecast/doc/Kostyuk2014ExpertFunctionForecast.pdf?format=raw pdf]
 +
|Н. П. Ивкин
 +
|<tex>\frac{12}{15}+\frac{4}{16}</tex>
 +
|0AI-L-
 +
|2,5
 +
|
 +
|-
 +
-->
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|}

Версия 17:01, 11 июня 2015

Основная статья: Machine Learning and Data Analysis (Strijov's practice)


My first research paper

The course involves Experts, Assistants and Sutudents of the Moscow Institute of Physucs and Technology.

Format

A student is willing to learn to formally state research problems, find adequate references, generate novel and significant ideas for problem solving.

An assistant helps the student with technical issues, consults the student on machine learning topics, promptly reacts to arising problems, performs evaluations and grading. Each advisor is supposed to possess sufficient publishing experience. Ideally, the assistant is writing paper on the adjacent topic. It is recommended to organize weekly reviewing process in such way that a student would input the corrections himself/herself.

An expert guarantees novelty and importance of the paper, suggests the problems, provides data.

Results

Author Research title Link Assistant HW-1,2 Code Score Grade
Gazizullina Rimma Capacity of railway cargo transportation forecasting [1], pdf Stenina Maria \frac{15}{15}+\frac{10}{16} [MF]TAI+L+SBR+CV+T>DEH(J) 16 10
Grinchul Andrey Struture Learning [2], pdf Varfolomeeva Anna \frac{7}{15}+\frac{2}{16} [F]TA+I+LSBR+СV+T+D+E(F) 14,5 9
Guschin Alexander Inductive model geneneration in information retrieval [3], pdf Kuznetsov Mikhail \frac{5}{15}+\frac{2}{16} [F]TAI+L+SBRCVTDEHS(F) 15,5 9
Efimova Irina Differential diagnosis (ECG) [4], pdf Celyh Vlada \frac{15}{15}+\frac{12}{16} [MF]T+A+I+L+SB++R+CV+TDE+H(J ed) 17,25 10
Zhukov Andrey Robust university ranking [5], pdf Kuznetsov Mikhail \frac{8}{15}+0 [F]TAIL+SBRCVTDEHS(F) 15,25 9
Ignatov Andrey MAbifold learning for quasiperiodic time series forecasting [6], pdf Ivkin Nkita 0+\frac{7}{16} [MF]TA+I+L+S+B+R+C+VTD>E+HS (J if ed) 18 10
Karasikov Mikhail Dimensionality reduction for multi-class learning problems reduced to multiple binary problems [7], pdf Yu.V. Maximov 0+0 [MF]TAI+L+SBRC+V+TDESH(J) 15 10
Kulunchakov Andrey Detection of isomorphic structures in essentially nonlinear regression models [8], pdf Сологуб Роман, Kuznetsov Mikhail \frac{10}{15}+\frac{14}{16} [F]T+AI+L+S+BR+CVT++D+EHS(J ed-ed) 17 10
Lipatova Anna Simultaneous Clustering Of A Set Of Time Series And Corresponding Forecasting Models [9], pdf Motrenko Anastasia \frac{8}{15}+\frac{6}{16} [MF]TA+I+LSBR-CVTDE (J when ed) 14,25 10
Makarova Anastasia Nonlinear forecasting [10], pdf Motrenko Anastasia 0+0 [F]TAI-LSB+R-CVTD>E>(F) 12,75 9
Plavin Alexander Number of topics optimization in probabilistic topic models by sparsing regularizer [11], pdf Potapenko Anna \frac{13}{15}+\frac{14}{16} [F]T+A+I+L+S+BR++CVTD+>>(?) 14 10
Popova Maria Selection of optimal physical activity classi�cation model using measurements of accelerometer [12], pdf Tokmakova Alexandra \frac{11}{15}+\frac{6}{16} [MF]T+AI+L++SB++R+CV+TD+(JV ed) 15,25 10
Shvets Mikhail Multimodel interpretation foe sociologic data [13], pdf Aduenko Alexander \frac{11}{15}+\frac{4}{16} [M+F]T+A+I+L+S+B+R+CVTD+E(F) 16,25 9
Shinkevich Mikhail On regularization and model robustenss [14], pdf Dudarenko Marina \frac{15}{15}+\frac{9}{16} [MF]T+AIL+S+BR+CV+T+D+E+H(J ed) 17 10
Источник — «http://machinelearning.ru/wiki/index.php?title=%D0%9E%D0%B1%D1%81%D1%83%D0%B6%D0%B4%D0%B5%D0%BD%D0%B8%D0%B5:%D0%A7%D0%B8%D1%81%D0%BB%D0%B5%D0%BD%D0%BD%D1%8B%D0%B5_%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D1%8B_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8F_%D0%BF%D0%BE_%D0%BF%D1%80%D0%B5%D1%86%D0%B5%D0%B4%D0%B5%D0%BD%D1%82%D0%B0%D0%BC_%28%D0%BF%D1%80%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0%2C_%D0%92.%D0%92._%D0%A1%D1%82%D1%80%D0%B8%D0%B6%D0%BE%D0%B2%29/%D0%93%D1%80%D1%83%D0%BF%D0%BF%D0%B0_174%2C_%D0%B2%D0%B5%D1%81%D0%BD%D0%B0_2014»
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