CSC7333 Spring 2014 Class website - Machine
Learning
Class time: Tuesday and Thursday from 12:00pm
to 1:20pm
Classroom: Room 1110 Patrick Taylor Hall
Instructor: Dr. Jianhua Chen
Contact
info: E-mail: jianhua@csc.lsu.edu
Tel:
225-578-4340
Office:
3122-C Patrick Taylor Hall
Office Hours:
T, TH 2:00pm to 4:00pm
Other times:
By appointment
Grader: Mr. Sudip Biswas
Office
hrs: Tuesday and Thursday 1:30pm to 2:30pm
Office:
3159 Patrick Taylor Hall
Phone:
225-650-9947
Email:
sbiswa7@tigers.lsu.edu
More info.
about the class: class
announcement guidelines
to group projects
Required Text Book:
Machine Learning by Tom Mitchell,
Publisher: McGraw-Hill
web site of Tom Mitchell
Recommended Text Book:
The Elements of Statistical Learning by
T. Hastie, R. Tibshirani, J. Friedman
Quiz dates: Thursday Feb. 27, 2014 and Thursday April 10, 2014
Homework Assignments - Due by 5pm of
the due date
homework1
homework2
homework3
homework4
MAKE-UP
Class: We will hold a make-up class on Saturday Feb. 15,
from 12noon to 1:20pm to make up for the loss of class due to
the recent winter storm
Attention for students who submit
homework electronically:
Please e-mail your homework to BOTH the instructor and the TA
(sbiswa7@tigers.lsu.edu)
and then
submit a hard-copy within 24 hours of the due date/time
Late
homework submission policy:
Homework submitted
after the due date will be accepted within 3 days past the due
date,
with a late penalty
of 10 points per day late. No late submission is accepted
after that.
Reminder
link to DT and
feature learning paper
link to
Valiant's paper on learnability
link to the
random key (GA) paper
link to a tutorial
paper on NN some interesting applications
of NN
Other links
link
to the website of the book "Introduction to data mining" by Tan,
Steinbach and Kumar
lecture notes: What is ML
more on
introduction to ML
link to
a paper by Dr. Chen and colleagues on UUV control by NN and GA
link to a
paper on applying GA for playing checkers
link to a paper on
using GA for QAP
link to
a website containing intersting applications of GA
the iterated
prisoners dilemma game the
checkers game
the traveling sales man problem
the vehicle routing
problem the
quadratic assignment problem
link
to
Sutton and Barto's book on reinforcement learning
TD-gammon
link to ICML 2012 papers
link to ICML
2011 proceedings
link to ICML 2010
proceedings
link to
ICML 09 proceedings
link to ICML 08 proceedings papers
link
to ICML 07 proceedings
link
to
ICML06 proceedings
link
to
ICML05 proceedings
link
to
ICML04 proceedings
link
to
ICML03 proceedings
Group
Presentations:
Group1 Members
Topic: ML for games
Group2
Members
Topic: Face Recognition
using Neural Networks
Group3 Members
Topic: Wearable
Computing: Accelerometers' Data Classification of Body Postures and
Movements using Neural Network
Group4
Members
Topic: Stock Market Prediction using Neural
Networks, SVM and Naive Bayes Classifier
Group5 Members
Topic: ML for Cancer Prediction
Group6 Members
Topic: ML Applications in Finance
Written Project Report
(Hard-copy) Due Date/Time:
Friday May 2, 2014 by 5pm
Class Final Exam (close
book) Date/Time:
Friday May 9, 2014,
from 5:30pm to 7:30pm