Exploring the capabilities of support vector machines in detecting silent data corruptions.
Omer SubasiSheng DiLeonardo Bautista-GomezPrasanna BalaprakashOsman S. UnsalJesús LabartaAdrián CristalSriram KrishnamoorthyFranck CappelloPublished in: Sustain. Comput. Informatics Syst. (2018)
Keyphrases
- cross validation
- support vector
- data sets
- original data
- training set
- data sources
- data analysis
- small number
- training data
- high quality
- data processing
- feature selection
- data collection
- image data
- data points
- end users
- raw data
- sensor data
- spatial data
- data quality
- complex data
- kernel function
- support vector machine svm
- knowledge discovery
- wireless sensor networks
- decision trees
- machine learning
- neural network
- databases