A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser.
Elena MontañésJosé Ramón QuevedoMaria M. PrietoPublished in: Intell. Data Anal. (2011)
Keyphrases
- greedy algorithm
- power plant
- polynomial regression
- dimensionality reduction
- wind power
- soft computing
- greedy algorithms
- locally weighted
- high dimensional
- low dimensional
- mdl principle
- fault diagnosis
- greedy strategy
- pattern recognition
- principal component analysis
- high dimensional data
- worst case
- historical data
- data points
- feature extraction
- feature space
- objective function
- decision support system
- input space
- dynamic programming
- feature selection
- information retrieval
- computational intelligence
- artificial neural networks
- cross validation
- artificial intelligence
- fuzzy sets
- data mining
- expert systems
- data analysis
- machine learning