Assignment 3 (400 Points)

Note: Written problems must be typed and submitted as a Portable Document Format (PDF) file. All major word processors provide equation editing capabilities; therefore, all mathematics must also be typed. Here is a small list of equation editing software (there are many others):

• Apache OpenOffice Math
• Word for Mac 2011
• Office 2007
• Office 2010
• Office 2013
• MathType
• LaTeX

• Study the following Open Source Computer Vision (OpenCV) Machine Learning Library (MLL) code:
  
  This code is an example of how to read a Comma-Separated Values (CSV) file into an OpenCV data structure, eliminate irrelevant columns, create a training and a testing data set, and then perform k-Nearest Neighbors classification using those data sets.
  
  Note: The g++ version 4.7.2 and the OpenCV version 2.4.4 libraries only exist on linprog4.cs.fsu.edu. You will need to make this on linprog4.cs.fsu.edu.
  • main.cpp: The file using MLData and K-Nearest Neighbors.
  • wdbc.data.txt: The data set.
  • wdbc.names.txt: An explanation of what the data set means.
  • makefile: The makefile for linprog4.cs.fsu.edu.
  
  Reference: Machine Learning Library (MLL) from Open Source Computer Vision (OpenCV).
  Reference: Breast Cancer Wisconsin (Diagnostic) Data Set from the University of California, Irvine (UCI) Machine Learning Repository.
  
  
• Do the following Assignment:
  
  Assignment 03 is provided in the following formats:
  
  • PDF (for printing): assignment_03.pdf ... so you can work problems out by hand before typing the text and math up in a word processor.
  • Word (for editing): assignment_03.docx
  
  
  
• Download the ZIP file containing the directory structure and files for the programming problems: assignment_03.zip
  
  
• After completing Assignment 03, create an assignment_03_lastname.pdf file for your written assignment and an assignment_03_lastname.zip file for your programming assignment (where lastname is your last name). Ensure that your assignment_03_lastname.zip retains the directory structure of the original zip file. In other words, ensure your zip file has the following directory structure:
  • /
    • cross_validation_1/
      • main.cpp
      • makefile
      • print.hpp
      • wdbc.data
      • wdbc.names
    • logistic_regression/
      • main.cpp
      • makefile
      • print.hpp
  
  Upload both your assignment_03_lastname.pdf file for your written assignment and your assignment_03_lastname.zip file for your programming assignment to the Assignment 03 location on the BlackBoard site: https://campus.fsu.edu.
  
  
• Note: Questions derived from the following sources:
  • Artificial Intelligence: A Modern Approach, Third Edition by Stuart Russell and Peter Norvig.
  • Udacity's Introduction to Artificial Intelligence course by Peter Norvig and Sebastian Thrun.
  • Coursera's Machine Learning course by Andrew Ng.
  • Coursera's Neural Networks for Machine Learning course by Geoffrey Hinton.
  • Coursera's Machine Learning course by Pedro Domingos.
  • edX's CS188.1x Artificial Intelligence course from BerkeleyX by Dan Klein.
  • Coursera's Introduction to Logic course by Michael Genesereth.
  • NPTEL's Artificial Intelligence course by Pallab Dasgupta.
  • NPTEL's Artificial Intelligence course by Anupam Basu and Sudeshna Sarkar.