CSC2515 Fall 2006 - Assignments/Project
Tentative Assignment/Project Schedule
- Assignment 1, posted Oct3.
spam data: (matlab v7 format)
(matlab v6 format)
If you use matlab, you might want to try out
to help with your optimization.
- Assignment 1 due Oct 17 at 2pm in class.
- Assignment 2, posted October 24.
antigen data: (matlab v6 format)
weather data: (matlab v6 format)
motorcycle data: (matlab v6 format)
All data in zipped ascii format: (here).
For all datasets, the target (output) is in the *last* column.
- Assignment 2 will be due Nov 7 in class.
- Assignment 3, posted November 14.
data in matlab format:
data in matlab v6 format (huge):
in gzipped ascii: (train)
NOTE: each line of the ascii files is of the form: N(i,j) i j
THE DATA IS ALSO ON CDF IN the directory /u/roweis/public
The paper on which this assignment is based:
Lawrence Saul, Fernando Pereira, Aggregate and mixed-order Markov
models for statistical language processing., EMNLP 1997.
- Assignment 3 due Nov 28 in class.
- Projects due noon Dec. 15, by email.
Send postscript or pdf files ONLY, do not send Word, Html or other formats.
Project info sheet
A few suggestions for project
ideas as well.
NIPS style file and example paper for latex
and formatting guide for other packages
Please note that 5 pages is a hard upper limit on length. Don't go over!
- Weekly readings worth 1% each, on the honour system.
Once you have done the weekly reading, follow this link:
Online Reading Submission
The system will make a record and add 1% to your grade.
- 3 assignments worth 18% each.
- 1 final project worth 33%.
- September 24 - deadline to enrol for credit
- November 5 - drop day
You may discuss the general idea of the questions with anyone you like,
but your discussion may not include the specific answers
to any of the problems.
In other words, you should always be able to answer,
by yourself, the question "How did you get this answer?"
Late assignments/projects are not accepted
except in the case of an official
Certificate or a written (not email) request submitted
at least one week before the due date and approved by the instructor.
Course Information |
Lecture Schedule/Notes |
CSC2515 - Machine Learning || www.cs.toronto.edu/~roweis/csc2515/