Recognition of Species and Genera of Bacteria By Means of the Product of Weights of the Classifiers.
Anna PlichtaPublished in: Int. J. Appl. Math. Comput. Sci. (2020)
Keyphrases
- recognition rate
- recognition accuracy
- feature extraction
- training data
- object recognition
- improve recognition accuracy
- handwritten digit recognition
- feature weights
- decision trees
- pattern recognition
- linear combination
- naive bayes
- test set
- weighted average
- nearest neighbour
- recognition algorithm
- training set
- handwritten numerals
- product information
- weighted voting
- ensemble learning
- highly discriminative
- plant species
- machine learning
- linear classifiers
- weighted sum
- classification models
- life cycle
- action recognition
- machine learning algorithms
- training examples
- feature set