Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression.
Pedro J. BallesterPublished in: PRIB (2012)
Keyphrases
- random forest
- support vector regression
- scoring functions
- machine learning
- decision trees
- random forests
- scoring function
- feature set
- support vector machine
- ensemble methods
- hybrid model
- support vector
- regression model
- kernel function
- fold cross validation
- machine learning methods
- support vector machine svm
- support vector classification
- feature selection
- similarity measure
- machine learning algorithms
- active learning
- pattern recognition
- learning algorithm
- multi label
- neural network
- natural language processing
- supervised learning
- data mining
- reinforcement learning
- training data
- computer vision
- information retrieval
- feature ranking
- data sets
- model selection
- logistic regression
- knowledge discovery
- artificial neural networks
- image segmentation