Difference between revisions of "Projects"
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| − | =Requirements | + | {{#seo: |
| + | |title=Active projects | ||
| + | |titlemode=replace | ||
| + | |keywords=Active projects | ||
| + | |description=Active student projects for the courses Machine Learning and Data Analysis | ||
| + | }} | ||
| + | The list of active projects is in [[Proposals]]. | ||
| + | |||
| + | ==Requirements for the problems== | ||
A student research project must solve one particular well-formulated problem and must carry one clear message. The suggested research problems should meet the following requirements: | A student research project must solve one particular well-formulated problem and must carry one clear message. The suggested research problems should meet the following requirements: | ||
# A problem should have a novel solution, suggested by the expert or the course advisor ('''novelty'''). | # A problem should have a novel solution, suggested by the expert or the course advisor ('''novelty'''). | ||
| − | # | + | # The solution of the problem should have a practical application, anticipated by a number of experts ('''importance'''). |
# Ideally, the solution should influence the problem statements and research in the research area ('''significance''' and citations). | # Ideally, the solution should influence the problem statements and research in the research area ('''significance''' and citations). | ||
| − | # The topic of the problem should correspond to some '''narrow''' field of Machine Learning and Data | + | # The topic of the problem should correspond to some '''narrow''' field of Machine Learning and Data analysis. |
| − | # Completion of the tasks, associated with solving the problem, performing computational experiments and the paper should take the '''planned''' amount of hours. | + | # Completion of the tasks, associated with solving the problem, performing computational experiments, and the paper should take the '''planned''' amount of hours. |
| − | ==Evaluation criteria and key features of a nice paper== | + | ==Evaluation criteria and key features of a nice paper== |
| − | # The paper regards one particular problem, proposing new and clear solution. | + | # The paper regards one particular problem, proposing a new and clear solution. |
| − | # The solution is theoretically justified. The properties of proposed method are studied. | + | # The solution is theoretically justified. The properties of the proposed method are studied. |
| − | # The theoretical problem is illustrated with practical examples. The paper contains a comprehensive | + | # The theoretical problem is illustrated with practical examples. The paper contains a comprehensive description of computational experiments with error analysis. |
| − | description of computational experiments with error analysis. | + | # The author understands to whom the paper is addressed. The author is able, after some publication analysis, to name a journal for submission. |
| − | # The author understands | ||
| − | analysis, to name a journal for submission. | ||
==Some indicators of a weakly stated problem== | ==Some indicators of a weakly stated problem== | ||
| − | # An extensively researched problem is solved by a well-known method, though such combination may | + | # An extensively researched problem is solved by a well-known method, though such a combination may not have been widely used (lack of novelty). |
# A new solution to the problem is proposed, but the algorithm is tested on the UCI data (lack of importance). | # A new solution to the problem is proposed, but the algorithm is tested on the UCI data (lack of importance). | ||
| − | # The solution is essentially a number of heuristics ( | + | # The solution is essentially a number of heuristics (lack of justification). |
=The project description template= | =The project description template= | ||
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*'''Data:''' a brief description of your data set, a link to the data. | *'''Data:''' a brief description of your data set, a link to the data. | ||
*'''References:'''List of the papers and supplementary materials, which includes a comprehensive problem statement, links to new results, comprehensive reviews in the field. | *'''References:'''List of the papers and supplementary materials, which includes a comprehensive problem statement, links to new results, comprehensive reviews in the field. | ||
| − | *'''Basic solution:''' a nearest simple algorithm, which solves | + | *'''Basic solution:''' a nearest simple algorithm, which solves the problem to start from. |
| − | *''' | + | *'''Method:''' a proposed solution to the problem with details about quality criteria and error analysis. |
| − | *'''Novelty:''' the main message | + | *'''Novelty:''' the main message conveys to the reader and to defend. |
| − | *'''Authors:''' the expert and the consultant. | + | *'''Authors:''' the expert and the consultant. The link to the project is it has been started. |
Latest revision as of 23:11, 14 February 2024
The list of active projects is in Proposals.
Contents
Requirements for the problems
A student research project must solve one particular well-formulated problem and must carry one clear message. The suggested research problems should meet the following requirements:
- A problem should have a novel solution, suggested by the expert or the course advisor (novelty).
- The solution of the problem should have a practical application, anticipated by a number of experts (importance).
- Ideally, the solution should influence the problem statements and research in the research area (significance and citations).
- The topic of the problem should correspond to some narrow field of Machine Learning and Data analysis.
- Completion of the tasks, associated with solving the problem, performing computational experiments, and the paper should take the planned amount of hours.
Evaluation criteria and key features of a nice paper
- The paper regards one particular problem, proposing a new and clear solution.
- The solution is theoretically justified. The properties of the proposed method are studied.
- The theoretical problem is illustrated with practical examples. The paper contains a comprehensive description of computational experiments with error analysis.
- The author understands to whom the paper is addressed. The author is able, after some publication analysis, to name a journal for submission.
Some indicators of a weakly stated problem
- An extensively researched problem is solved by a well-known method, though such a combination may not have been widely used (lack of novelty).
- A new solution to the problem is proposed, but the algorithm is tested on the UCI data (lack of importance).
- The solution is essentially a number of heuristics (lack of justification).
The project description template
- Title: a title of the paper to be submitted in a scientific journal.
- Problem: a short informal problem statement. An optimization (\(\text{arg}\min\) style) problem statement is welcome. Put a link to a classic problem statement, if any.
- Data: a brief description of your data set, a link to the data.
- References:List of the papers and supplementary materials, which includes a comprehensive problem statement, links to new results, comprehensive reviews in the field.
- Basic solution: a nearest simple algorithm, which solves the problem to start from.
- Method: a proposed solution to the problem with details about quality criteria and error analysis.
- Novelty: the main message conveys to the reader and to defend.
- Authors: the expert and the consultant. The link to the project is it has been started.