Machine Learning 2013

beadkennelAI and Robotics

Oct 15, 2013 (3 years and 9 months ago)

73 views

Machine Learning
201
3

Final Project


The final project is an opportunity for you to use machine learning techniques
for
real
-
world problems. You can
either
choose a topic from the suggested list or
propose
some
other topics

that you are interested in. For example, you may use

some
of the
machine learning
techniques
to solve problems in
y
our own research.
Please note that
If you choose your own topic, it
is NO
T

acceptable for you
to turn in
some
previous

works
without
adding
new
materials
.


Project Proposal

Please submit a project proposal (1
-
page maximum) on
May 2
0
th

which should
i
nclude the following information:



Your

name

and ID



Project title



Dataset



Project

idea.

Written in
approximately two paragraphs.



Algorithms

that
you
plan to program
.



R
eference

papers
.


F
inal
Project
R
eport

T
he result
s

of your final project should be
presented in
a
project
report
, which

clearly
describ
es

the following information:



Abstr
act



Introduction and background
s



Methods



Experimental Results



Conclusions



Reference

list

In your final report, you should explain in detail how you use machine learning
methods to solve your problems.


F
inal
Project Demo

You
also
need to give a 15
-
minute oral presentation for your final project.
T
he
presentation should cover the main contents of your final
project

in a brief and clear
way. Similar to the final
project
report, please
emphasize
the connection
s

between
the adopted
mac
hine learning method
s

and your problem.



Grading Policy

Your p
roject will be graded
based on

the following factors:



O
riginality and creativity



B
ackground material



Major concepts



Experiments



Performance Evaluation



D
iscussion and interpretation



Project

repo
rt



Project demo



Challenges
in Machine Learning


1.

ICML 2011

Unsupervised and Transfer Learning Challenge

http://www.causality.inf.ethz.ch/unsupervised
-
learning.php#cont


2.

KDD Cup 2010

C
hallenge
: p
redict student performance on mathematical problems from logs of
student interaction with Intelligent Tutoring Systems.

https://pslcdatashop.web.cmu.edu/KDDCup/


3.

KDD Cup 2008

C
hallenge
:
early detection of breast cancer from X
-
ray images of the breast.

http://www.kdd.org/kdd
-
cup
-
2008
-
breast
-
cancer


4.

Others
:

1.

Challenges
in Machine Learning
http://www.chalearn.org/

2.

KDD Cup
http://www.kdd.org/kddcup/index.php