RL-Written Assignment 1
Sahil Sharma, CS12B060
17 January 2014
1
Introduction
This is a written assignment, done as a part of the RL-CS6700 course.
2
Question 1
Self-Play: Suppose, instead of playing against a random opponent, the reinforcement learning a
EM Demystified: An Expectation-Maximization Tutorial
Yihua Chen and Maya R. Gupta Department of Electrical Engineering University of Washington Seattle, WA 98195 cfw_yhchen,gupta@ee.washington.edu
UW UW
UWEE Technical Report Number UWEETR-2010-0002
Februa
Face Recognition using Principal Component Analysis
In the language of information theory, we want to extract the relevant information in a face
image, encode it as effectively as possible, and compare one face encoding with a database of
models encoded s
Distance Based Classification
Approaches on Satellite images
Classification Approaches
Generalized Distance Metric
Step 1: Find the average between all the points in training class Ck .
Step 2: Repeat this process for all the class k
Step 3: Find the Eucl
Probability can be expressed mathematically as a
numerical index with a range between zero (an
absolute impossibility) to unity (an absolute
certainty).
Most events have a probability index strictly
between 0 and 1, which means that each event has
at lea
Different Distance Based Classification
techniques on IRIS Data set
Data Set Description
No of Classes
No of Features
No of observation
of each class
Setosa
Versicolour
Virginica
sepal length
sepal width
petal length
petal width
C -1: 50
C -2: 50
C-3: 50
Bayes Decision Theory and its Practical
Implementation on Satellite Images
How to Implement
Four satellite Images of Kolkata (Rband, Gband, Bband and Iband) are given to you
with equal image size (512 * 512).
The feature vector dimension is 4
Each pixel l