Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets.
Fiorella CraveroSantiago SchustikMaría Jimena MartínezGustavo E. VazquezMónica Fátima DíazIgnacio PonzoniPublished in: J. Chem. Inf. Model. (2020)
Keyphrases
- feature selection
- data sets
- dynamic programming
- cost function
- learning algorithm
- preprocessing
- feature selection algorithms
- recognition algorithm
- computational efficiency
- classification algorithm
- optimization algorithm
- input data
- experimental evaluation
- high efficiency
- k means
- computational complexity
- segmentation algorithm
- selection algorithm
- benchmark data sets
- synthetic and real world data sets
- convergence rate
- conditional mutual information
- simulated annealing
- detection algorithm
- support vector machine svm
- high accuracy
- multi class
- np hard
- search space
- data streams
- machine learning