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Due in class Friday February 12. Earlier submissions are welcome! | Due in class Friday February 12. Earlier submissions are welcome! | ||
| − | Note about late submissions: Late submissions will be accepted until 5pm Thursday February | + | Note about late submissions: Late submissions will be accepted until 5pm Thursday February 18 in MSEE330. This is a hard deadline. NO EXCEPTION! Please try not to be late and hand in by the February 12 deadline. |
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==Question== | ==Question== | ||
| − | + | We have learned how to use Bayes Decision Rule to classify data points drawn at random from two classes that are normally distributed in <math>R^n</math>. | |
| − | + | Use data (either synthetic or real) to experiment with this classification method. When does it work well? When does it not work well? | |
| − | + | Write a report to explain your experiments and summarize your findings. Make sure to include a cover page, introduction, numerical results (e.g., tables, graphs,…), and a conclusion. Attach a copy of your code. | |
| − | + | ||
Specific examples of project scopes and experiments will be described in class. Feel free to come up with your own. | Specific examples of project scopes and experiments will be described in class. Feel free to come up with your own. | ||
| − | *You must write your own function to classify the data. Do not copy other people code. | + | *You must write your own function to classify the data (discriminant g(s)). Do not copy other people's code and do not use any toolbox to classify the data. |
| − | *Write a report summarizing your findings. Include all relevant tables and graphs. | + | *Write a report summarizing your findings. Include all relevant tables and graphs. Also include a copy of your code. DO NOT PLAGIARIZE!!!!! |
| − | + | ||
| − | + | ||
| − | + | ||
| + | *Hand in two hard copies of your report. The first one should start with a standard cover page. For the second one, remove your name from the cover page. Place the anonymous submission below the submission with a name and hand in both together. | ||
| + | ---- | ||
| + | ==Discussion/Comments== | ||
| + | *Joe will be sharing some MATLAB code to compute Bayes Error in multiple dimensions. (Will be posted here shortly.) Feel free to use his code. | ||
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[[2016_Spring_ECE_662_Boutin|Back to ECE 662 Spring 2016]] | [[2016_Spring_ECE_662_Boutin|Back to ECE 662 Spring 2016]] | ||
Revision as of 10:52, 29 January 2016
First Mini-Project, ECE662 Spring 2016
Due in class Friday February 12. Earlier submissions are welcome!
Note about late submissions: Late submissions will be accepted until 5pm Thursday February 18 in MSEE330. This is a hard deadline. NO EXCEPTION! Please try not to be late and hand in by the February 12 deadline.
Question
We have learned how to use Bayes Decision Rule to classify data points drawn at random from two classes that are normally distributed in $ R^n $. Use data (either synthetic or real) to experiment with this classification method. When does it work well? When does it not work well? Write a report to explain your experiments and summarize your findings. Make sure to include a cover page, introduction, numerical results (e.g., tables, graphs,…), and a conclusion. Attach a copy of your code.
Specific examples of project scopes and experiments will be described in class. Feel free to come up with your own.
- You must write your own function to classify the data (discriminant g(s)). Do not copy other people's code and do not use any toolbox to classify the data.
- Write a report summarizing your findings. Include all relevant tables and graphs. Also include a copy of your code. DO NOT PLAGIARIZE!!!!!
- Hand in two hard copies of your report. The first one should start with a standard cover page. For the second one, remove your name from the cover page. Place the anonymous submission below the submission with a name and hand in both together.
Discussion/Comments
- Joe will be sharing some MATLAB code to compute Bayes Error in multiple dimensions. (Will be posted here shortly.) Feel free to use his code.
