Invention Grant
- Patent Title: Empirical modeling of confusion matrices
- Patent Title (中): 混沌矩阵的经验建模
-
Application No.: US12604539Application Date: 2009-10-23
-
Publication No.: US08438128B2Publication Date: 2013-05-07
- Inventor: David M. Doria
- Applicant: David M. Doria
- Applicant Address: US MA Waltham
- Assignee: Raytheon Company
- Current Assignee: Raytheon Company
- Current Assignee Address: US MA Waltham
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06N7/02 ; G06N7/06

Abstract:
A method and system of estimating the performance of a classifier system based on a reported confusion matrix includes, in one embodiment, parameters fit to observed confusion matrices, such that the expected performance of decision detection versus the probability of not-in-library reports can be estimated based on the forced decision confusion matrix. The approach also lends itself to a general methodology for modeling classes of confusers in a statistical manner, which can be extended to modeling clutter severity.
Public/Granted literature
- US20100106676A1 EMPIRICAL MODELING OF CONFUSION MATRICES Public/Granted day:2010-04-29
Information query