Now showing items 1-4 of 4

    • 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003 

      Williams, Brian C.; Sullivan, Greg (2003-12)
      This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, ...
    • 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2005 

      Williams, Brian; Roy, Nicholas (2005-12)
      This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, ...
    • 6.047 / 6.878 Computational Biology: Genomes, Networks, Evolution, Fall 2008 

      Kellis, Manolis; Galagan, James (2008-12)
      This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential ...
    • 6.867 Machine Learning, Fall 2002 

      Jaakkola, Tommi S. (Tommi Sakari) (2002-12)
      Principles, techniques, and algorithms in machine learning from the point of view of statistical inference; representation, generalization, and model selection; and methods such as linear/additive models, active learning, ...