Comparing machine learning classifiers in potential distribution modelling.
Ana Carolina LorenaLuís F. O. JacinthoMarinez Ferreira de SiqueiraRenato De GiovanniLúcia G. LohmannAndré Carlos Ponce de Leon Ferreira de CarvalhoMissae YamamotoPublished in: Expert Syst. Appl. (2011)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- feature selection
- learning algorithm
- training data
- supervised classification
- pattern recognition
- naive bayes
- text classification
- computer vision
- inductive learning
- probability distribution
- semi supervised learning
- learning problems
- learning classifier systems
- random variables
- class labels
- classifier combination
- data mining
- text mining
- training set
- artificial intelligence
- reinforcement learning
- support vector
- confusion matrices
- class conditional
- neural network
- power law
- linear classifiers
- meta learning
- training examples
- computer science
- probability density function
- data analysis
- svm classifier
- information extraction
- knowledge acquisition