Effects of Reduced Precision on Floating-Point SVM Classification Accuracy.
Bernd LesserManfred MückeWilfried N. GanstererPublished in: ICCS (2011)
Keyphrases
- floating point
- classification accuracy
- support vector
- feature selection
- svm classification
- training set
- square root
- fixed point
- support vector machine svm
- high classification accuracy
- feature space
- training data
- support vector machine
- selected features
- naive bayes
- instruction set
- svm classifier
- knn
- machine learning
- classification algorithm
- feature vectors
- fast fourier transform
- text classification
- feature set
- computer architecture
- low cost
- similarity measure
- training set size
- sparse matrices