| Line 1: | Line 1: | ||
[[Category:2010 Spring ECE 662 mboutin]] | [[Category:2010 Spring ECE 662 mboutin]] | ||
| − | = | + | =Discussion Topic 1: Introduction and Expections= |
| + | *Hello everybody, I am Prof. Mimi, your instructor. My goal in this course is to teach you some fundamental tools that you can use to attack the different decision theory problems that you will encounter, along with the limits of these tools. I also hope to give you some ideas on how to address the limitations of current decision theory techniques. I am personally very interested in decision theory. Part of my research focuses on designing methods to extract features to represent data in such a way that no information is lost in the process. I am also interested in developing methods to remove information from a representation that is not helpful in making a decision. This is particularly challenging when the underlying data is high-dimensional. Looking forward to getting to know you all! --[[User:Mboutin|Mboutin]] 15:33, 12 January 2010 (UTC) | ||
| + | *Add you stuff here. --sign | ||
| − | |||
| − | + | ---- | |
| − | + | [[ 2010 Spring ECE 662 mboutin|Back to 2010 Spring ECE 662]] | |
| − | + | ||
| − | [[ 2010 Spring ECE 662 mboutin|Back to 2010 Spring ECE 662 | + | |
Revision as of 10:33, 12 January 2010
Discussion Topic 1: Introduction and Expections
- Hello everybody, I am Prof. Mimi, your instructor. My goal in this course is to teach you some fundamental tools that you can use to attack the different decision theory problems that you will encounter, along with the limits of these tools. I also hope to give you some ideas on how to address the limitations of current decision theory techniques. I am personally very interested in decision theory. Part of my research focuses on designing methods to extract features to represent data in such a way that no information is lost in the process. I am also interested in developing methods to remove information from a representation that is not helpful in making a decision. This is particularly challenging when the underlying data is high-dimensional. Looking forward to getting to know you all! --Mboutin 15:33, 12 January 2010 (UTC)
- Add you stuff here. --sign
