Probabilistic Graphical Models10-708, Spring 2014
School of Computer Science, Carnegie Mellon University
Your class project is an opportunity for you to explore an interesting problem in the context of a real-world data sets. Projects should be done in teams of three students. Each project will be assigned a TA as a project consultant/mentor; instructors and TAs will consult with you on your ideas, but of course the final responsibility to define and execute an interesting piece of work is yours. Your project will be worth 40% of your final class grade, and will have 4 deliverables:
- Proposal : 2 pages (10%)
Due : February 10
- Midway Report : 5 pages (20%)
Due : March 28
- Final Report : 8 pages, 9 pages including references (40%)
Due : May 7
- Presentation : (30%)
On : May 7
All write-ups should use the ICML style.
You are responsible for forming project teams of 3 people by Friday, January 31st. In some cases, we will also accept teams of 2, but a 3-person group is preferred. Once you have formed your group, please send one email per team to the class instructor list with the names of all team members. If you have trouble forming a group, please send us an email and we will help you find project partners.
Project SuggestionsPlease see the list of suggested projects posted here.
You must turn in a brief project proposal that provides an overview of your idea and also contains a brief survey of related work on the topic. We will provide a list of suggested project ideas for you to choose from, and we strongly suggest using one of these ideas, though you may discuss other project ideas with us, whether applied or theoretical. Note that even though you can use data sets you have used before, you cannot use work that you started prior to this class as your project.
Proposals should be approximately two pages long, and should include the following information:
- Project title and list of group members.
- Overview of project idea. This should be approximately half a page long.
- A short literature survey of 5 or more relevant papers. The literature review should take up approximately one page.
- Description of potential data sets to use for the experiments.
- Plan of activities, including what you plan to complete by the midway report and how you plan to divide up the work.
The grading breakdown for the proposal is as follows:
- 40% for clear and concise description of proposed method
- 40% for literature survey that covers at least 5 relevant papers
- 10% for plan of activities
- 10% for quality of writing
The project proposal will be due on Monday, February 10th, and should be submitted electronically via Canvas.
The midway report will serve as a check-point at the halfway mark of your project. It should be about 5 pages long, and should be formatted like a conference paper, with the following sections: introduction, background & related work, methods, experiments, conclusion. The introduction and related work sections should be in their final form; the section on the proposed methods should be almost finished; the sections on the experiments and conclusions will have the results you have obtained, perhaps with place-holders for the results you plan/hope to obtain.
The grading breakdown for the midway report is as follows:
- 20% for introduction and literature survey
- 40% for proposed method
- 20% for the design of upcoming experiments and revised plan of activities (in an appendix, please show the old and new activity plans)
- 10% for data collection and preliminary results
- 10% for quality of writing
The midway report will be due on Friday, March 28th, and should be submitted electronically via Canvas.
Your final report is expected to be 8 pages (9 pages including references), in accordance with the length requirements for an ICML paper. It should have roughly the following format:
- Introduction: problem definition and motivation
- Background & Related Work: backround info and literature survey
- Overview of your proposed method
- Intuition on why should it be better than the state of the art
- Details of models and algorithms that you developed
- Description of your testbed and a list of questions your experiments are designed to answer
- Details of the experiments and results
- Conclusion: discussion and future work
- 10% for introduction and literature survey
- 30% for proposed method (soundness and originality)
- 30% for correctness, completeness, and difficulty of experiments and figures
- 10% for empirical and theoretical analysis of results and methods
- 20% for quality of writing (clarity, organization, flow, etc.)
All project teams will present their work at the end of the semester. Each team will be given a timeslot during which they will give a slide presentation to the class, similar in style to a conference presentation. If applicable, live demonstrations of your software are highly encouraged. Details TBA.
After all final reports have been submitted, we will assign each student to review the projects of two other groups and submit a written assessment similar in style to a conference referee report.