Harvey Mudd College

Computer Science 152

Neural Networks

Fall 2006

• General information and outline
  
  
• Student Project Links for Fall 2006
  • 3D Reconstruction Using Neural Networks (Faith Dang)
    
  • Speaker Identification (Ben Tribelhorn)
  • BP Bartender (Aaron Wolin)
    
  • Using Adalines to Approximate Q-functions in Reinforcement Learning (Steven Wyckoff)
  • Artificial Life (Michael Tauraso)
  • Fuzzy Networks and Robot Navigation with Moving Obstacles (Paul Wais)
  • High Performance Computing and Neural Networks (Carl Nygaard)
  • Cellular Neural Networks (Max Pflueger)
  • Neural Network for Image Compression (Craig Weidert)
  • TD Poker (Josh Utter-Leyton)
  • Using Jordan-Elman Neural Networks for Polyphonic Music Transcription (Martin Hunt)
  • Natural Language Classifier (Mike Buchanan)
  • Chess Position Evaluator (Mike Roberts)
  • Long Short-Term Memory (David Morrison)
  • Structure-Based Website Classification (Peter Mawhorter)
  • ART-House: A Collaborative Filtering System for Movies using the ART2 Algorithm (Stephen Jones)
  • UNGNU Backgammon (Alex Haro)
  • Using and Training Neural Networks in Video Games (Joe Ishikura)
  • Jump'n'Bump AI (Pyry Matikainen)
  • Protein Structure Prediction (Chris Alvino)
  • Neural Network-based Data Generation (Andrew Taylor)
  • Lizard Classification (Morgan Conbere)
  • Korean Phoneme Discrimination (Ben Lickly)
  • Building a Protein Annotation System with SVMs (Kyle Roberts)
  • Voice Morphing with RBF Networks (Nathan Reed)
  • Adaptive Board Game Design (Michael Carter)
  • RPS (Frank Salim)
  • Bayesian Neural Nets and Active Relevance Detection (Topper Kain)
  • ATP Tennis Prediction (Jeff Jablonski)
  • Facial Emotion Detection (Chris Roberts)
  
  
• Links


• Slides from a prior offering of this course


• Assignment 1


• Assignment 2


• Assignment 3


• Assignment 4


• Project Requirements


• Matlab Quadratic Program Solver


• SVM Classifier (AT&T Labs)


• Student Paper Presentations
  • Speaker Identification using Neural Networks (Ben Tribelhorn)
  • N-Gram-Based Text Categorization (Mike Buchanan)
  • The Effects of Singular Value Decomposition on Collaborative Filtering (Carl Nygaard)
  • Neural Network Approaches to Image Compression (Craig Weidert)
  • Efficient Evolution of Neural Network Topologies (Pyry Matikainen)
  • Practical Issues in Temporal Difference Learning (Josh Utter-Leyton)
  • Polyphonic music transcription through dynamic networks and spectral pattern identification (Martin Hunt)
  • Hybrid Recommender Systems: Survey and Experiments (Aaron Wolin)
  • 3D Object Reconstruction and Representation Using Neural Networks (Faith Dang)
  • Neurofuzzy Motion Planners for Intelligent Robots (Paul Wais)
  • Learning To Play Chess Using Reinforcement Learning With Database Games (Michael Roberts)
  • Recurrent neural networks for phoneme recognition (Ben Lickly)
  • Application of ART2 Networks and Self-Organizing Maps to Collaborative Filtering (Stephen Jones)
  • Applying Support Vector Machines for Gene ontology based gene function prediction (Kyle Roberts)
  • Classification of Websites as Sets of Feature Vectors (Peter Mawhorter)
  • Intelligent Traffic Light Control (Steven Wyckoff)
  • Rotation Invariant Neural Network-Based Face Detection (Morgan Conbere)
  • Second International RoShamBo Programming Competition (Frank Salim)
  • The Evolution of Learning Algorithms for Artificial Neural Networks (Michael Tauraso)