Research Abstracts - Applied Artificial Intelligence and Learning

MIT Artificial Intelligence Laboratory
Research Abstracts — 2000

Applied Artificial Intelligence and Learning Biologically Inspired Robots and Models Computational Support for People Foundations of Artificial Intelligence and Learning Medical Robots	Medical Vision Mobile Robotics New Models of Computation Vision and Sound Applied to People and Activity Vision Techniques

Applied Artificial Intelligence and Learning

Gary Borchardt	"Interactive Planning and Monitoring"
Justin A. Boyan	"Time-Dependent Planning for Buses, Trains, and Telescopes"
Nicholas Tung Chan	"Artificial Markets and Adaptive Agents"
Tony L. Eng	"De Novo Protein Sequencing from Tandem Mass Spectra"
Jason Rennie	"Automated E-mail Filtering"
Lawrence Shih	"Artificial Markets and Adaptive Agents"
Lisa Tucker-Kellogg	"Systematic Conformational Search with Constraint Satisfaction"
Cheuk-san Edward Wang	"Automating Electron Density Map Interpretation by Matching Confirmations"
Chen-Hsiang Yeang	"Discovering Biological Functional Modules from Gene Expression Data"