An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification.
David Gómez GuillénAlfonso RojasPublished in: Neural Comput. (2016)
Keyphrases
- machine learning
- real world
- machine learning methods
- pattern recognition
- classification accuracy
- decision trees
- text classification
- machine learning algorithms
- supervised machine learning
- data mining
- feature selection
- wide range
- data analysis
- data sets
- pattern classification
- machine learning approaches
- support vector machine
- classification process
- image classification
- text mining
- statistical learning
- classification scheme
- decision rules
- classification systems
- neural network
- supervised learning
- learning algorithm
- artificial intelligence
- feature vectors
- classification models
- predictive modeling
- eeg signals
- computer vision
- case study
- reinforcement learning
- feature set
- feature space
- active learning
- learning systems
- synthetic data
- model selection
- dimensionality reduction