Difference between revisions of "Step 7"
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== The seminar == | == The seminar == | ||
− | # [The warm-up 5-minute test] | + | # [https://forms.gle/mNNYqWjc2tdq3vQB6 The warm-up 5-minute test] |
− | # The | + | # The expert estimations and integral indicators |
− | # | + | # Introduction; strengths and weaknesses of basic solutions |
− | # | + | # Form your LinkReview and .[https://en.wikipedia.org/wiki/BibTeX#Database_files bib] with [https://www.jabref.org/ JabRef] using [https://en.wikipedia.org/wiki/Digital_object_identifier DOI] |
− | # | + | # Discuss how to fill the LinkReview [[Week_2#L:_Literature|with L:Literature]] |
+ | # Make a table of them on your homework | ||
+ | # Dicsuss the project comparison | ||
==Resources== | ==Resources== | ||
− | Step 7 YouTube [] | + | Step 7 YouTube [https://www.youtube.com/watch?v=i_YVhwS3vf8 video] |
==Homework== | ==Homework== | ||
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# Put the short version of your analysis in the table. | # Put the short version of your analysis in the table. | ||
# Fill in the table [https://github.com/vadim-vic/the-Art-homework/blob/main/Name-Step-7.tex in your repository]. | # Fill in the table [https://github.com/vadim-vic/the-Art-homework/blob/main/Name-Step-7.tex in your repository]. | ||
− | # Put the link to your analysis [https://forms.gle/ | + | # Put the link to your analysis [https://forms.gle/C4mn6AXEX5fKry2i6 here, Step-7]. |
While completing the table, remember the formula for an engineering project description: "We propose a solution that offers a unique feature, distinguishing it from other solutions." Of course, each part needs an explanation. | While completing the table, remember the formula for an engineering project description: "We propose a solution that offers a unique feature, distinguishing it from other solutions." Of course, each part needs an explanation. | ||
− | '''Note:''' The whole section Introduction is not required. (Ask me why) | + | '''Note:''' The whole section Introduction is not required. <!--(Ask me why)--> |
=== Examples === | === Examples === |
Latest revision as of 13:32, 16 November 2024
"If I have seen further, it is because I have stood on the shoulders of giants", – Isaac Newton wrote this in a letter in 1675.
We establish a solid foundation for our research to deliver results of better quality and higher impact with less effort. This foundation comprises essentials, overviews, state-of-the-art, and alternatives to our solution. Not to mention the supplementary materials like references to the algorithms and data in your computational experiment.
Contents
The seminar
- The warm-up 5-minute test
- The expert estimations and integral indicators
- Introduction; strengths and weaknesses of basic solutions
- Form your LinkReview and .bib with JabRef using DOI
- Discuss how to fill the LinkReview with L:Literature
- Make a table of them on your homework
- Dicsuss the project comparison
Resources
Step 7 YouTube video
Homework
Each solution to your problem has its pros and cons. List them all.
- Collect references for your project according to the plan.
- While collecting put your notes to the temporary file LinkReview (see examples below) or to the .bib and .tex
- Put them into the .bib using JabRef or another tool that generates the bibliographic record using doi.
- Analyse each solution's pros and cons according to the project's quality criteria.
- Put the short version of your analysis in the table.
- Fill in the table in your repository.
- Put the link to your analysis here, Step-7.
While completing the table, remember the formula for an engineering project description: "We propose a solution that offers a unique feature, distinguishing it from other solutions." Of course, each part needs an explanation.
Note: The whole section Introduction is not required.
Examples
- Look through the table of reports and see some particular LinkReview files.
- Examples of the comparative tables
- See parts of Introduction (to put it in the LinkReview as a draft)
- Related works: Stresstest procedures for feature selection algorithms
- The main contributions of this paper are: Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria
- For the future materials see a problem statement (beware the spherical horse in a vacuum)