Comparative Analysis of Algorithms Of Linked lists (Sll, Dll, Cll)
Why Linked Lists?
First of all linked list is a data structure which does not require a sequential memory block to store data,
unlike arrays its insertion and deletion more faster and easy
CHAPTER
3
DECISION TREE
LEARNING
Decision tree learning is one of the most widely used and practical methods for
inductive inference. It is a method for approximating discrete-valued functions that
is robust to noisy data and capable of learning disjuncti
Roll Number: _
CS 401 ARTIFICIAL INTELLIGENCE SECTION A
FINAL EXAM (180 minutes)
Max Marks: 75
I wish you all the best!
QUESTION 1
Part a: Write the following using the syntax of first order logic:
i. All cats are grumpy and some of them are even bad temp
663
14.4. Tree-based Models
Figure 14.4
Comparison of the squared error
(green) with the absolute error (red)
showing how the latter places much
less emphasis on large errors and
hence is more robust to outliers and
mislabelled data points.
E(z)
1
0
z
1
c
9.2 Tree-Based Methods
305
9.2 Tree-Based Methods
9.2.1 Background
Tree-based methods partition the feature space into a set of rectangles, and
then fit a simple model (like a constant) in each one. They are conceptually
simple yet powerful. We first desc
National University of Computer and Emerging
Sciences
(Lahore campus)
Department of Computer Science
CS-401 Artificial Intelligence
Section (B)
Sessional I (Fall 2012)
Instructor:
Dr. Kashif Zafar
October 2, 2012
Total Marks: 100
Time Allowed: 90 minutes
ARTIFICIAL INTELLIGENCE - NEURAL NETWORKS
http:/www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_neural_networks.htm
Copyright tutorialspoint.com
Yet another research area in AI, neural networks, is inspired from the natural neural n
Section 18.6.
Regression and Classification with Linear Models
717
function D ECISION -L IST-L EARNING(examples) returns a decision list, or failure
if examples is empty then return the trivial decision list No
t a test that matches a nonempty subset exam
3
Linear
Models for
Regression
The focus so far in this book has been on unsupervised learning, including topics
such as density estimation and data clustering. We turn now to a discussion of supervised learning, starting with regression. The goal of regr
National University of Computer and Emerging
Sciences
(Lahore campus)
Department of Computer Science
CS-401 Artificial Intelligence
Final Exam (Fall 2012)
Section B
Instructor:
Dr. Kashif Zafar
January 1, 2012
Total Marks: 100
Time Allowed: 180 min
Exam i
Q1. a. Suppose we have a finite state machine defined by the following graph: (8)
b. Using minimum number of bits, form a bit-string type chromosome comprising of
three genes x, y & z: where (3)
i) x = 3, y = 5, z = 1 (The range of values for each allele
Breaking Barriers! By Umair Jaliawala
The speaker starts off with a ground breaking line relating to breaking the barriers, We put our
own ladder up against the wall, and claim the problem to be solved. Clearly, no matter how
much we may want it to be, bu
CSCI 135
First Name: Abdul
Last Name: Aziz
SIN:
Grade:
Mark the following statements true or false.
a. The first device known to carry out calculations was the Pascaline. (False)
b. Modern-day computers can accept spoken-word instructions but cannot imita