Parth A Patel, Rhea Gopali, Anvith Reddy, Kajol K Patel
The Readability of Ophthalmological Patient Education Materials Provided by Major Academic Hospitals
Seminars in ophthalmology
abstract support vector machines svm represent promising development machine learning research widely used within remote sensing community paper reports results two experiments multiclass svms compared maximum likelihood ml artificial neural network ann methods terms classification accuracy two land cover classification experiments use multispectral landsat7 etm hyperspectral dais data respectively test areas eastern england central spain results show svm achieves higher level classification accuracy either ml ann classifier svm used small training datasets highdimensional data acknowledgements rhulsvm software made available att royal holloway college university london dais data kindly made available prof j gumuzzio autonomous university madrid computing facilities provided school geography university nottingham mahesh pals research supported commonwealth scholarship authors grateful critical comments two anonymous referees whose advice led improvement presentation many findings contained paper