ELEC-E7260 - Machine Learning for Mobile and Pervasive systems D, 13.01.2021-26.03.2021
This course space end date is set to 26.03.2021 Search Courses: ELEC-E7260
MLPS report: Study description (14.03.2021)
Describe the experimental study design (if applicable) and work plan, as well as nature of the data: Technical details, data collected, features utilized, classification approach, environmental settings, size of the data set, ...
Which algorithms are you planning to use, which features and further parameters.
Approximately 1-2 pages (+ 1-2 pages related work and 1 page introduction and 1/4 page abstract)
Please expand on the existing document. Necessary changes to the previous assignments (e.g. changes in the approach or study plan in the course of the project are to be updated in previous assignment texts (e.g. abstract, introduction, related work))
Please use this template for your document (conference mode):
https://www.ieee.org/content/dam/ieee-org/ieee/web/org/conferences/Conference-LaTeX-template_7-9-18.zip
Describe the experimental study design (if applicable) and work plan, as well as nature of the data: Technical details, data collected, features utilized, classification approach, environmental settings, size of the data set, ...
Which algorithms are you planning to use, which features and further parameters.
Approximately 1-2 pages (+ 1-2 pages related work and 1 page introduction and 1/4 page abstract)
Please expand on the existing document. Necessary changes to the previous assignments (e.g. changes in the approach or study plan in the course of the project are to be updated in previous assignment texts (e.g. abstract, introduction, related work))
Please use this template for your document (conference mode):
https://www.ieee.org/content/dam/ieee-org/ieee/web/org/conferences/Conference-LaTeX-template_7-9-18.zip
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