Choosing Feature Selection and Learning Algorithms in QSAR.
Martin EklundUlf NorinderScott BoyerLars CarlssonPublished in: J. Chem. Inf. Model. (2014)
Keyphrases
- feature selection
- learning algorithm
- machine learning
- text categorization
- machine learning algorithms
- active learning
- learning problems
- training data
- unsupervised feature selection
- irrelevant features
- feature set
- mutual information
- drug discovery
- unsupervised learning
- text classification
- feature subset
- classification models
- information gain
- generalization ability
- supervised learning
- drug design
- learning rate
- learning scheme
- feature weighting
- decision tree learning
- method for feature selection
- back propagation
- learning tasks
- feature extraction
- dimensionality reduction
- multi class
- support vector machine
- knn
- feature space
- support vector
- reinforcement learning
- bayesian networks
- high dimensionality
- neural network
- multi task
- model selection
- discriminative features