AIClass

Information

• Class mailing list: AI-class@bloominglabs.org

• Class lectures

Resources

• Berkeley course
• http://videolectures.net/

Topics

• Philosophy of Mind (lecture 10)
  • Reading

• Learning (lecture 9)
  • Reading

• Vision (lecture 8)
  • Reading
  • RBG Color Gamuts
  • Canny Edge Detection Algorithm

• IBM Watson (lecture 7)
  • Watson at RPI (Slide Presentation)
  • Open Source Watson
  • CMU's OAQA (Open Advancement of Question Answering)
  • How to build your own "Watson Jr." in your basement

• Hidden Markov Models (lecture 6)
  • Lecture notes
  • Rabiner Tutorial
  • Stamp Review of Rabiner
  • Zhai Tutorial
  • Viterbi Algorithm
  • Baum-Welch Algorithm
  • Foundations of Statistical Natural Language Processing

• Bayesian Networks (lecture 4 and 5)
  • Bayesian I
  • Bayesian II
  • Homework
  • Solutions

• Perceptrons/Neural Networks (lecture 3 and 4)
  • Topics and Readings
  • Rojas' online Neural Network book
  • Explorations in Parallel Distributed Processing
  • Online version of Explorations in PDP
  • PDP software
  • Video on developing neural networks

• Genetic Algorithms (lecture 2)
  • Readings
    • http://burakkanber.com/blog/machine-learning-genetic-algorithms-part-1-javascript/
    • http://burakkanber.com/blog/machine-learning-genetic-algorithms-in-javascript-part-2/
  • Online examples
    • http://www.rennard.org/alife/english/gavgb.html
    • https://www.ads.tuwien.ac.at/raidl/tspga/TSPGA.html
  • Examples from class
  • Homework
    • Implement an algorithm that solves the knapsack problem
    • See the second reading for a description of the problem
    • Data and data structure

• Search (lecture 1)
  • Topics and Readings
  • Slides
  • Homework
    • Minimax/AlphaBeta Pruning