Обсуждение:Численные методы обучения по прецедентам (практика, В.В. Стрижов)/Группа 174, весна 2014
Материал из MachineLearning.
м (→Format) |
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Строка 93: | Строка 93: | ||
|Detection of isomorphic structures in essentially nonlinear regression models | |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] | |[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] | ||
- | | | + | |Sologub Roman, [[Участник:Mikethehuman|Kuznetsov Mikhail]] |
|<tex>\frac{10}{15}+\frac{14}{16}</tex> | |<tex>\frac{10}{15}+\frac{14}{16}</tex> | ||
|[F]T+AI+L+S+BR+CVT++D+EHS(J ed-ed) | |[F]T+AI+L+S+BR+CVT++D+EHS(J ed-ed) | ||
Строка 127: | Строка 127: | ||
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|[[Участник:Mpopova|Popova Maria]] | |[[Участник:Mpopova|Popova Maria]] | ||
- | |Selection of optimal physical activity | + | |Selection of optimal physical activity classification 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] | |[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]] | |[[Участник:Aleksandra.Tokmakova|Tokmakova Alexandra]] |
Текущая версия
My first research paper
The course involves Experts, Assistants and Sutudents of the Moscow Institute of Physucs and Technology.
- Course description
- Short URL bit.ly/1f78iKG
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 | [MF]TAI+L+SBR+CV+T>DEH(J) | 16 | 10 | |
Grinchul Andrey | Struture Learning | [2], pdf | Varfolomeeva Anna | [F]TA+I+LSBR+СV+T+D+E(F) | 14,5 | 9 | |
Guschin Alexander | Inductive model geneneration in information retrieval | [3], pdf | Kuznetsov Mikhail | [F]TAI+L+SBRCVTDEHS(F) | 15,5 | 9 | |
Efimova Irina | Differential diagnosis (ECG) | [4], pdf | Celyh Vlada | [MF]T+A+I+L+SB++R+CV+TDE+H(J ed) | 17,25 | 10 | |
Zhukov Andrey | Robust university ranking | [5], pdf | Kuznetsov Mikhail | [F]TAIL+SBRCVTDEHS(F) | 15,25 | 9 | |
Ignatov Andrey | MAbifold learning for quasiperiodic time series forecasting | [6], pdf | Ivkin Nkita | [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 | [MF]TAI+L+SBRC+V+TDESH(J) | 15 | 10 | |
Kulunchakov Andrey | Detection of isomorphic structures in essentially nonlinear regression models | [8], pdf | Sologub Roman, Kuznetsov Mikhail | [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 | [MF]TA+I+LSBR-CVTDE (J when ed) | 14,25 | 10 | |
Makarova Anastasia | Nonlinear forecasting | [10], pdf | Motrenko Anastasia | [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 | [F]T+A+I+L+S+BR++CVTD+>>(?) | 14 | 10 | |
Popova Maria | Selection of optimal physical activity classification model using measurements of accelerometer | [12], pdf | Tokmakova Alexandra | [MF]T+AI+L++SB++R+CV+TD+(JV ed) | 15,25 | 10 | |
Shvets Mikhail | Multimodel interpretation foe sociologic data | [13], pdf | Aduenko Alexander | [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 | [MF]T+AIL+S+BR+CV+T+D+E+H(J ed) | 17 | 10 |