Advanced Machine Learning (CSCI 6622)

Course offered spring term 2002.

Location:	Tuesday and Thursday 9:30-10:45 ECCR 131
Instructor:	Professor Greg Grudic
Office:	ECOT 525
Office Hours:	Tuesday 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

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.

I expect everyone to submit a paper to a machine learning conference. The best papers will also be submitted to a journal.

Your Grade 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.

Course Outline:

• By January 31: Identify an area of machine learning that you are interested in.
• By February 15: Identify an interesting open research problem in that area.
• By March 15: Propose a solution.
• By April 15: Investigate/modify your proposed solution.
• By April 30: Write up your results in conference paper form.

Final conference paper due April 30. Emailed to me no later than Midnight!

You will be required to do the following:

• Present at least 4 papers that are related to your research topic in class.
• 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!