EECS 545: Machine Learning: Projects, Fall 2009

• Learning in non-cooperative games: Polar tic-tac-toe, Sai Sankalp Arrabolu, Ashwin Kashyap, Ayoung Kim and Gaurav Pandey
  • Voted best poster presentation by the class
• Confidence Region Estimation for Medical Image Registration, Michael Allison, Bhargav Avasarala and Takanori Watanabe
• Construction and Evaluation of an agent for three player poker, Abram Booth, Lee Callender and Craig W Wright
• Reinforcement Learning Approach to Managing Distributed Data Processing Tasks in Wireless Sensing Networks, Jeshua Bratman, Daniel Fabbri and Andy Zimmerman
• Active Learning via Random Walk, Jie Cheng and Ashwin Mukherjee
• Machine Learning in p300, Jang Hwan Cho, Sanghoon Kim, Jong Wook Kim and Dave Thompson
• Threshold Point Gain Calculation for Myopic Operator Query Selection, Rob Cohn
• Mobility Pattern Prediction Using Cell-phone Data logs, Hamed Firouzi, Yue Liu and Amir Sadrpour
• Handling Outliers through Agglomerative Clustering with Full Model Maximum Likelihood Estimation, with Application to Flow Cytometry, Mark Gordon, Justin Li, Kevin Matzen and Bryce Wiedenbeck
• Recommendations and Predictions With ε_t-greedy Active Learning, Sindhu Kutty and Fisher Yu
• Query Learning for Multiple Object Identification, Dan Lingenfelter, Tzu-Yu Liu, Antonis Matakos and Zhaoshi Meng
• Classification of Executed and Imagined Motor Movement EEG Signals, Shiwali Mohan, Preeti Pillai and Jason Sleight