An Empirical Comparison of Support Vector Machines Versus Nearest Neighbour Methods for Machine Learning Applications.
Moïri GamboniAbhijai GargOleg GrishinSeung Man OhFrancis SowaniAnthony Spalvieri-KruseGodfried T. ToussaintLingliang ZhangPublished in: ICPRAM (Selected Papers) (2014)
Keyphrases
- machine learning
- machine learning methods
- support vector
- preprocessing
- nearest neighbour
- pattern recognition
- cross validation
- feature selection
- computer vision
- significant improvement
- kernel function
- machine learning algorithms
- machine learning approaches
- image processing
- genetic algorithm
- support vector machine
- fuzzy logic
- real world
- neural network