Title :
Plenary speaker 1: Continuum fusion: A new theory of inference
Author_Institution :
Naval Research Laboratory
Abstract :
By exploiting human insight in the form of a model, methods of composite hypothesis (CH) testing can generate more robust decision algorithms, with a greater ability to generalize, than the alternative “data-driven methods.” The latter include artificial neural networks, genetic algorithms, support vector machines, etc.
Keywords :
genetic algorithms; inference mechanisms; neural nets; support vector machines; artificial neural networks; composite hypothesis testing; continuum fusion; data-driven methods; genetic algorithms; robust decision algorithms; support vector machines; theory of inference;
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on
Conference_Location :
Reykjavik
Print_ISBN :
978-1-4244-8906-0
Electronic_ISBN :
978-1-4244-8907-7
DOI :
10.1109/WHISPERS.2010.5594828
