Printed Pages :
| ECS601
(Following Paper 1]) and Roll No. to be lled in yourAnswer Book)
PAPER ID : 110601
B. Tech.
(SEM. VI) THEORY EXAM[NATION, 2014-15
COMPUTER NETWORK
Time : 3 Hours] [Total Marks
Data Compression (ECS-077)
B.TECH
(SEM. 7) (ODD SEM) THEORY EXAMINATION, 2015-16
Data Compression
Code: (ECS-077)
Time: 3 Hours
[Total Marks: 100]
Section-A
Q.1 Attempt all parts. All parts carry equa
ECS601
Printed Pages3
(Following Paper ID and Roll No. to be filled in your Answer Book)
PAPER ID : 110601 Roll No.
B.Tech.
(SEM. VI) THEORY EXAMINATION 2013-14
COMPUTER NETWORK
Time : 3 Hours
Note :
w
w
.c
om
ce
ra
am
.e
x
w
P[P~a]~t.,.E[t'J.t >I
and verify the inequality
P[ X~ 2A] ~ (e14/
when X follows Poisson distribution with
parameter.
20
(b)
Let Fn be a sequence of distribution functions de
Home Work 1
Due Date: 12th Sep 2010
(Attempt all questions)
Q. 1] Let k k denote the standard Euclidean norm on R2 . For each of the following
subsets of R2 say whether it is closed / open / neither.
Improved bounds for the randomized decision tree complexity of recursive
majority
Frederic Magniez
Ashwin Nayak
Miklos Santha
David Xiao
Abstract
We consider the randomized decision tree complexity of
Problem Set 2
Design and Analysis of Algorithms
August 29, 2016
Please submit your solutions to [email protected] by 12 pm on September 5.
1. Let A(x) and B(x) be two univariate polynomials of deg
E0 270 Machine Learning
Lecture 3 (Jan 15, 2013)
Discriminative Probabilistic Models for Classification
Lecturer: Shivani Agarwal
Disclaimer: These notes are a brief summary of the topics covered in t
E0 270 Machine Learning
Lecture 4 (Jan 17, 2013)
Least Squares Regression
Lecturer: Shivani Agarwal
Disclaimer: These notes are a brief summary of the topics covered in the lecture.
They are not a sub
A Probabilistic Interpretation of
Canonical Correlation Analysis
Francis R. Bach
Computer Science Division
University of California
Berkeley, CA 94114, USA
[email protected]
Michael I. Jordan
Comp
E0 370 Statistical Learning Theory
Lecture 15 (Oct 20, 2011)
Boosting
Lecturer: Shivani Agarwal
1
Scribe: Anil C R
Introduction
We start by discussing some variants of the learnability model we saw in
E0 270 Machine Learning
Lecture 24 (Apr 4, 2013)
A Glimpse into Statistical Learning Theory: Statistical Consistency of
Binary Classification Algorithms Based on Risk Minimization
Lecturer: Shivani Ag
E0 370 Statistical Learning Theory
Lecture 4 (Aug 23, 2011)
VC-Dimension and Sauers Lemma
Lecturer: Shivani Agarwal
1
Scribe: Achintya Kundu
Introduction
In the previous lecture we saw the technique o
E0 270 Machine Learning
Lecture 1 (Jan 8, 2013)
Introduction. Binary Classification and Bayes Error.
Lecturer: Shivani Agarwal
Disclaimer: These notes are a brief summary of the topics covered in the
E0 270 Machine Learning
Lecture 2 (Jan 10, 2013)
Generative Probabilistic Models for Classification
Lecturer: Shivani Agarwal
Disclaimer: These notes are a brief summary of the topics covered in the l
E0 270 Machine Learning
Lecture 5 (Jan 22, 2013)
Support Vector Machines for Classification and Regression
Lecturer: Shivani Agarwal
Disclaimer: These notes are a brief summary of the topics covered i
E0 270 Machine Learning
Lecture 10 (Feb 7, 2013)
Canonical Correlation Analysis
Lecturer: Chiranjib Bhattacharyya
Scribe: Debarghya Ghoshdastidar
Disclaimer: These notes are a brief summary of the top
E0 271: Computer Graphics
Assignment 2 (Weightage: 20%)
Due on Sep 22, 2016
In this assignment, you will add more features to the protein viewer you built in the previous assignment. However, now you
E0 271: Computer Graphics
Assignment 1
Due: August 25, 2016
Weightage: 15%
Goals
Learn OpenGL
Learn basic GLSL
Learn to use GLUT/Qt
Analyze graphics performance
You need to implement a simple prot
Problem Set 5
Design and Analysis of Algorithms
September 30, 2016
Please submit your solutions to [email protected] by noon 12 pm (IST) on October 10.
Problem 1. You want to find a straight line
Homework Assignment 2
Design and Analysis of Algorithms
September 30, 2016
Please submit your solutions to [email protected] by noon 12 pm (IST) on October 21.
Problem 1. Given a matrix A Rmn and
Problem Set 4
Design and Analysis of Algorithms
September 26, 2016
Please submit your solutions to [email protected] by 12 pm on October 3.
1. Recall that a standard queue maintains a sequence of
Homework Assignment 1
Design and Analysis of Algorithms
September 6, 2016
Please submit your solutions to [email protected] by 12 pm on September 20.
Problem 1. Show that in any execution of the G