A support vector machine as an estimator of mountain papaya ripeness using resonant frequency or frequency centroid.
P. B. BroChristophe RosenbergerHélène LaurentC. Gaete-EastmanM. FernándezM. A. Moya-LeónPublished in: IFIP AI (2006)
Keyphrases
- resonant frequency
- support vector machine
- microstrip antenna
- magnetic field
- support vector
- least squares
- machine learning
- multi class
- knn
- maximum likelihood
- svm classifier
- kernel methods
- multi class support vector machines
- feature vectors
- error estimation
- small sample
- feature selection
- k nearest neighbor
- hyperplane
- training set
- stock market prediction
- decision boundary
- low frequency
- maximum a posteriori
- classification method
- kernel function
- support vector machine svm
- feature extraction
- training data
- feature space
- estimation algorithm
- optimal solution
- svm classification
- k means
- artificial neural networks
- learning algorithm
- data mining