Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS.
Cesare FurlanelloStefano MerlerPublished in: Multiple Classifier Systems (2000)
Keyphrases
- geographic information systems
- majority voting
- randomized trees
- feature selection
- ensemble classifier
- support vector
- decision trees
- ensemble learning
- multiclass classification
- weak classifiers
- training set
- naive bayes
- risk management
- test set
- adaboost algorithm
- machine learning
- weak learners
- geographic information
- spatial data
- training samples
- boosting framework
- learning algorithm
- multiple classifier systems
- agent based modeling
- combining classifiers
- data sets
- improving classification accuracy
- boosting algorithms
- binary classifiers
- ensemble methods
- road network
- machine learning algorithms
- face detection
- training examples
- feature set
- training data
- decision making