Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...
Practical supervised learning scenarios involving subjectively evaluated data have multiple evaluators, each giving their noisy version of the hidden ground truth. Majority logic ...
This paper studies the archival problem: how a digital library can preserve electronic documents over long periods of time. We analyze how an archival repository can fail and we p...
The Information Fusion Panel within The Technical Cooperation Program (TTCP) is developing algorithms to perform machine-based situation assessment to assist human operators in co...