Inferring Task Structure From Data

P. Utgoff, V. Lesser, and D. Jensen (2000). Inferring task structure from data. University of Massachusetts, Department of Computer Science. Technical Report UM-CS-2000-054.

Abstract
An algorithm is presented for fitting an expression composed of continuous and discontinuous primitive functions to real-valued data points. The data modeling problem comes from the need to infer task structure for making coordination decisions for multi-agent systems. The presence of discontinuous primitive functions requires a novel approach.
Text
A PDF version of this paper is available.

Feedback Back to main page Fineprint