The Machine Learning Team is engaged in a variety of research related to several programmatic efforts at Los Alamos National Laboratory. Our research is making fundamental advances in the field of computational learning theory, and we build on these results to develop robust solutions to a wide variety of real-world pattern recognition and anomaly detection problems. Our algorithms are coded into efficient software libraries for use throughout the laboratory.

Selected Projects

Machine Learning Research	Application Highlights (881KB PDF)
Anomaly Detection

Resources

Team Roster

Skills & Capabilities

Computational Learning Theory	Neural Networks
Statistical Pattern Recognition	Anomaly Detection
Adaptive Pattern Recognition	Clustering Algorithms

Archive

• Publications -- Machine Learning Research
  
• Publications -- Miscellaneous Projects
  
• Publications -- Document Image Analysis
  
• Publications -- Content-Based Image Retrieval