CS534 Final Project

The goal of this class project is to give you an opportunity to explore an interesting machine learning problem of your choice in the context of a real-world data set.  You  are encouraged to combine machine learning research ideas with problems in your own research area. Your class project must be about new things you have done this term, you can't use results you have developed prior to this class. Your project will be worth 25% of your final class grade.
Note that, as with any conference, the page limits are strict! Papers over the limit will not be considered.

What you need to do


Grading and determining when you have done enough
A project that does a solid job building the base learning system and carefully evaluating and describing it might get 75–80% credit. A project that includes additional pursuit of interesting extensions/alternatives or investigations into important issues (such as overfitting, noise tolerance, feature selection etc.), or achieves very impressive results might get 90–100% credit. Weight will also be given to the interestingness and novelty of the learning task considered.

Be creative! Exploring your own interesting ideas and comparing them with the baseline approaches will receive credit whether they beat the baseline or not.


Some Possible Learning Problems