CS446: Machine Learning
Fall 2015
Problem Set 5
Handed Out: October 30th , 2015
Due: November 07th , 2015
Feel free to talk to other members of the class in doing the homework. I am more concerned th
CS446: Machine Learning
Fall 2015
Problem Set 7
Handed Out: November 19th , 2015
Due: December 3rd , 2015
Feel free to talk to other members of the class in doing the homework. I am more concerned th
CS446: Machine Learning
Fall 2015
Problem Set 1
Ocial Solution
Handed In: September 16, 2015
1. [Learning Conjunctions - 40 points]
a. The LearnConjunction algorithm (Algorithm 1) will begin with the
CS446: Machine Learning
Fall 2015
Problem Set 3
Handed Out: September 29th , 2015
Due: October 8th , 2015
Feel free to talk to other members of the class in doing the homework. I am more concerned th
CS446: Pattern Recognition and Machine Learning
Fall 2008
Problem Set 1
Handed Out: September 2, 2008 Due: September 11, 2008
Feel free to talk to other members of the class in doing the homework. I
CS446: Machine Learning
Fall 2014
Problem Set 7
Handed Out: November 18th , 2014
Due: December 3rd , 2014
Feel free to talk to other members of the class in doing the homework. I am more concerned th
CS446: Machine Learning
Fall 2016
Problem Set 2 Solutions
Handed Out: September 13th , 2016
Handed In: September 22nd , 2016
1. Learning Decision Trees
(a) Data Set, D [35+, 15]
Values(Holiday) =cfw_y
CS446: Machine Learning
Fall 2013
Problem Set 4
Due: October 31th , 2013
Handed Out: October 17, 2013
Feel free to talk to other members of the class in doing the homework. I am more concerned that
y
CS446: Machine Learning
Fall 2014
Problem Set 3
Handed Out: September 29th , 2014
Due: October 10th , 2014
Feel free to talk to other members of the class in doing the homework. I am more concerned t
Midterm exam on 10/23
(in class; closed books).
Projects
Next week: Kai-Wei Chang
- Will give a review
- SVM
Term papers/Projects proposals are due on Thursday, 10/09/14.
Within a week we will give yo
CS446: Machine Learning
Fall 2016
Problem Set 5
Due: November 8th , 2016
Handed Out: Official Solution
1. [PAC Learning - 40 points]
(a) One possible algorithm is the following: given data (xi , yi )
CS446: Machine Learning
Fall 2005
Midterm Exam Solutions : Addendum
October 23, 2011
Problem 4. (d) [On-Line Learning and PAC Learning]
Explain what is required in order to guarantee ( , ) behavior (
CS446: Machine Learning
Fall 2013
Problem Set 5
Handed Out: October 31th , 2013
Due: November 14th , 2013
Feel free to talk to other members of the class in doing the homework. I am more concerned th
CS446: Machine Learning
Fall 2011
Mid-term Exam
October 25th , 2011
This is a closed book exam. Everything you need in order to solve the problems is
supplied in the body of this exam. Note that ther
CS446: Machine Learning
Fall 2012
Mid-term Exam Solutions
October 30th , 2012
This is a closed book exam. Everything you need in order to solve the problems is
supplied in the body of this exam. Note
CS446: Machine Learning
Spring 2015
Problem Set 4
Handed Out: March 12, 2015
Due: April 2, 2015
Feel free to talk to other members of the class in doing the homework. I am more concerned that you lea
CS446: Machine Learning
Fall 2016
Problem Set 3 Solution
Handed Out: October 11, 2016
Due: N/A
Experiment 1: Number of examples vs Number of mistakes
Algorithm
Parameters
NA
Dataset
n=500
NA
0.005
Dat
CS 446: Machine Learning
Dan Roth
University of Illinois, Urbana-Champaign
[email protected]
http:/L2R.cs.uiuc.edu/~danr
3322 SC
INTRODUCTION
CS446 Fall 14
CS446: Policies
Cheating
No.
We take it very
CS446: Machine Learning
Fall 2016
Problem Set 7
Handed Out: November 17th , 2016
Due: December 1st , 2016
Feel free to talk to other members of the class in doing the homework. I am more concerned th
CS446: Machine Learning
Fall 2015
Problem Set 7
Handed Out: November 19th , 2015
Due: December 3rd , 2015
Feel free to talk to other members of the class in doing the homework. I am more concerned th
CS446: Machine Learning
Spring 2015
Problem Set 3
Ocial Solution
Handed In: Mar. 12, 2015
In this solution, we present the experimental results conducted by the TA so that the students can
compare the
CS446: Machine Learning
Fall 2016
October 25th , 2016
This is a closed book exam. Everything you need in order to solve the problems is
supplied in the body of this exam.
This exam booklet contains
CS446: Machine Learning
Spring 2015
Problem Set 5
Handed Out: April 2nd , 2015
Due: April 16th , 2015
1. [Boosting with AdaBoost - 30 points]
(a) The initial weight distribution is uniform, meaning al
CS446: Machine Learning
Fall 2011
Mid-term Exam Solution
October 25th , 2011
This is a closed book exam. Everything you need in order to solve the problems is
supplied in the body of this exam. Note
CS446: Machine Learning
Fall 2016
Problem Set 5
Handed Out: October 27th , 2016
Due: November 08th , 2016
Feel free to talk to other members of the class in doing the homework. I am more concerned th
CS446: Machine Learning
Fall 2012
Mid-term Exam
October 30th , 2012
This is a closed book exam. Everything you need in order to solve the problems is
supplied in the body of this exam. Note that ther
CS446: Machine Learning
Fall 2013
Problem Set 1
Handed Out: September 5, 2013
Due: September 19, 2013
Feel free to talk to other members of the class in doing the homework. I am more concerned that
y
CS446: Machine Learning
Fall 2014
Mid-term Exam Solutions
October 23rd , 2014
This is a closed book exam. Everything you need in order to solve the problems is
supplied in the body of this exam.
Thi
Registration
Typos in HW1
A Guide
Learning Algorithms
Search: (Stochastic) Gradient Descent with LMS
Decision Trees & Rules
Importance of hypothesis space (representation)
How are we doing?
Today:
Ta
CS446: Machine Learning
Fall 2014
Problem Set 5
Handed Out: October 28th , 2014
Due: November 06th , 2014
Feel free to talk to other members of the class in doing the homework. I am more concerned th
Quiz 1
Note: answers are bolded
1. The matrix A of order n is nonsingular if?
a. The determinant of A is nonzero
b. The rows and columns of A are linearly independent
c. Both (a) and (b) are true
d. N
CS446: Machine Learning
Spring 2018
Machine Problem 5
Handed Out: Jan. 16, 2018
Due: Feb. 22, 2018 (11:59 AM Central Time)
Part 1: Setup
Remote connect to a EWS machine.
ssh (netid)@remlnx.ews.illino
University of Illinois
Spring 2018
CS 446: Machine Learning
Homework 9
Due on Tuesday, April 3, 2018, 11:59 a.m. Central Time
1. [16 points] Gaussian Mixture Models & EM
Consider a Gaussian mixture mo
CS446: Machine Learning
Spring 2018
Machine Problem 11
Handed Out: Jan. 16, 2018
Due: Apr. 19, 2018 (11:59 AM Central Time)
Note: The assignment will be autograded. It is important that you do not use
University of Illinois
Spring 2018
CS 446: Machine Learning
Homework
Due on Tuesday, April 3, 2018, 11:59 a.m. Central Time
1. [10 points] K-Means
(a) Mention if K-Means is a supervised or an un-super