Project archive - Revision history

Wiki at 12:07, 13 August 2024

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Wiki: /* 2023 */

2024-01-25T12:48:27Z

2023

Wiki: Created page with "==2023== This year's results are expected [https://github.com/intsystems/m1p here]. ===Problem 112=== * '''Title:''' Modeling an FMRI reading from a video of a shown person *..."

2023-02-26T22:22:49Z

Created page with "==2023== This year's results are expected [https://github.com/intsystems/m1p here]. ===Problem 112=== * '''Title:''' Modeling an FMRI reading from a video of a shown person *..."

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 *'''Data:''' collection of text documents — acts of arbitration courts http://kad.arbitr.ru.
 * '''References:'''
-*# Anastasia Yanina. [[Media:ianina18msc.pdf‎|Thematic exploratory information search]]. 2018. FIVT MIPT.
+*# Anastasia Yanina. [[Media:ianina18msc.pdf‎|Thematic exploratory information search]]. 2018.
 *# Ianina A., Golitsyn L., Vorontsov K. [[Media:ianina17exploratory.pdf|Multi-objective topic modeling for exploratory search in tech news]]. AINL-2017. CCIS, Springer, 2018.
 *# Ahmed El-Kishky, Yanglei Song, Chi Wang, Clare Voss, Jiawei Han. [http://hanj.cs.illinois.edu/pdf/vldb15_ael-kishky.pdf Scalable Topical Phrase Mining from Text Corpora]. 2015.
@@ Line 4,170: / Line 4,170: @@
 * '''References:'''
 *# ''Uspensky V. M.'' Informational function of the heart. Theory and practice of diagnosing diseases of internal organs by the method of information analysis of electrocardiosignals. - M.: Economics and informatics, 2008. - 116 p.
-*# Vorontsov K. V. [[Media:Voron-2011-tnop.pdf|Reliability theory of precedent learning]]. Course of lectures of VMK MSU and MIPT. 2011.
+*# Vorontsov K. V. [[Media:Voron-2011-tnop.pdf|Reliability theory of precedent learning]]. Course of lectures. 2011.
 *# MVR Composer http://www.machinelearning.ru/wiki/index.php?title=MVR_Composer
-* '''Base algorithm:'''  linear naive bayes classifier with feature selection.
+* '''Base algorithm:'''  linear naive Bayes classifier with feature selection.
 * '''Solution:''' Exact combinatorial formulas are used to evaluate overfitting. For approximation (surrogate modeling) of these formulas, MVR Composer is used. Heuristic semi-greedy combinatorial optimization algorithms are used for feature selection.
 * '''Novelty:''' Previously, combinatorial retraining estimates were not used for feature selection. This method makes it possible to reduce diagnostic sets of features and improve the quality of classification.

@@ Line 749: / Line 749: @@
 [https://github.com/Intelligent-Systems-Phystech/2021-Project-Planning/raw/main/slides/Pirau2021Presentation_ru.pdf Slides]
 [https://www.youtube.com/watch?v=xW_lXGn1WHs&t=3491s Video]
-|[https://mipt.ru/education/chairs/dm/staff/trenin.php Trenin Sergey Alekseevich]
+|[https://www.researchgate.net/profile/Sergey-Trenin Trenin Sergey Alekseevich]
 |AILB*PXBRH1CVO*TEM*WJSF
 |[http://www.machinelearning.ru/wiki/index.php?title=Участник:Yakovlev_kd Yakovlev Konstantin]

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 ==2023==
 This year's results are expected [https://github.com/intsystems/m1p here].
@@ Line 6,126: / Line 6,132: @@
 *  Using the Granger Test in Time Series Forecasting
 * When predicting a series, it can be useful to determine whether a given series is "dependent" on some other series. The Granger test, based on statistical tests, helps to identify such a relationship (in this case, the method does not guarantee an accurate result - when comparing two rows that depend on another row, an error is possible). The method is used in forecasting economic and natural phenomena (for example, earthquakes).
-* The purpose of the work is to propose an algorithm that makes the best use of this method; investigate the effectiveness of the method depending on the predicted series.
+* The purpose of the work is to propose an algorithm that makes the best use of this method; and investigate the effectiveness of the method depending on the predicted series.

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 ==2023==
 This year's results are expected [https://github.com/intsystems/m1p here].
+<!--
 ===Problem 112===
 * '''Title:''' Modeling an FMRI reading from a video of a shown person
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 * '''Novelty:''' Analysis of the relationship between sensor readings and human perceptions of the external world. It is required to test the hypothesis of the relationship between the data, as well as to propose a method for approximating the FMRI readings from the listening sound series.
 * '''Authors:''' Expert Grabovoi Andrey.
+-->
 ===Problem 114===
 * '''Title:''' Simulating the Dynamics of Physical Systems with Physics-Informed Neural Networks