Advanced Machine Learning (CSCI 6622)

 

Course offered spring term 2003.

 

Location:          

Monday and Wednesday 9:00-10:15 ECCR 1B06

Instructor:

Professor Greg Grudic

Office:            

ECOT 525

Office Hours:

Monday and Wednesday 11:00-12:00

Phone:

303-492-4419

Email:

grudic@cs.colorado.edu

Course URL:

http://www.cs.colorado.edu/~grudic/teaching/CSCI6622_2003

 

 

Textbook: The Elements of Statistical Learning, by Hastie, Tibshirani, Friedman

 

 

The goal of this course is to do original and interesting research in machine learning. Specifically, this includes the following sub goals:

 

  1. Identify open research problems in machine learning.
  2. Pick a problem that interests you and propose a novel solution.
  3. Investigate the efficacy of your proposed solution.
  4. Write up your solution in a form that is adequate for submission to a conference in Machine Learning.

 

 

You will also be expected to

 

Grading:

    Project                       50%

    Reviews                     20%

    Class Participation     15%

    Presentations              15%

 

 

 

Your Grade on the project will be based on the novelty of your proposed solution, its analysis, the presentation of your research and related research in class, and the conference paper you produce. I expect your research to have strong theoretical and practical motivation.

 

You must pick a project topic by March 1.

 

 

Final conference paper due May 2. Emailed to me no later than Midnight!

 

 

You will be required to do the following:

 

  • Present at least 4 papers.
  • Write 1 page reviews on papers that other students are presenting.
  • Updates on your progress regularly in class.
  • Actively critique and comment while others are presenting in class.

 

I encourage you to work alone, although you may work in groups of 2 or 3. I will closely supervise every research project and will periodically present material in class that I believe is relevant.

 

You are expected to attend every class!