Student Publications

• Kura, Kiran (Sep 2012).
  A Novel Data Set for Semantic Parsing using SQL as a Formal Language. Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Siginam, Bharat (Mar 2012).
  Adaptive Tile Coding Methods for the Generalization of Value Functions in the RL State Space. Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Kasireddy, Vivek (Aug 2010).
  A Biclustering Method for Extracting Keyphrases to Describe Groups of Yeast Genes. Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Larson, Andrew (Aug 2009).
  DVPDS: An Open Source Data Analysis and Visual Programming Tool for Database Statistics. Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Bhalekar, Prafulla (Aug 2008).
  A Web-Based System to Assist in Detecting RWIS Sensor Malfunctions. Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Pandey, Shruti (Aug 2008).
  Methods for Approximating Forward Selection of Features in Information Retrieval Problems Using Machine Learning Methods. Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Patil, Vinayak (Aug 2007).
  Tile Coding Reinforcement Learning for RoboCup Soccer. Master's Project, University of Minnesota Duluth, Computer Science Department.
• Joshi, Mahesh (Aug 2006).
  Kernel Methods for Word Sense Disambiguation and Abbreviation Expansion in the Medical Domain. Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Polumetla, Aditya (July 2006).
  Machine Learning Methods for the Detection of RWIS Sensor Malfunctions (PDF)   (MSWord). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Kankaria, Rashmi (August 2004).
  A tool for constructing and visualizing tree augmented Bayesian networks for survey data (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Takale, Anand (August 2004).
  Constructing predictive models to assess the importance of variables in epidemiological data using a genetic algorithm system employing decision trees (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Bhoite, Deodatta (July 2004).
  A traffic data warehousing and visualization scheme (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Vadrevu, Srinivas (June 2002).
  Efficient neural network training using subsets of very large datasets (postscript). (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Vikram, Shardul (August 2001).
  Some experiments with reinforcement learning on real world robots (postscript). (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Bommaganti, Hariprasad (May 2001).
  Feature Boosting: A novel feature subset selection method (postscript). (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Kulkarni, Purushottam (May 2000).
  Some methods for parallelizing decision tree learning (postscript). (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Ramakrishnan, Karthik (May 2000).
  Building a piece-wise ensemble of decision tree classifiers (postscript). (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Raman, Vishwas (May 2000).
  A High-Throughput Computing system with user-initiated checkpointing (postscript). (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Xavier, Shakila (May 1999).
  Learning from training samples (postscript). (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Naik, Rahul (August 1998).
  Creating classification features for biological images Index (MS Word). (PDF). Body (MS Word). (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.
• Ramji, Pilapakam (June 1998).
  Reinforcement learning in a multi-agent environment (postscript). (PDF). Master's Thesis, University of Minnesota Duluth, Computer Science Department.