Creating a Comprehensive Feature Space Library for Machine Learning.
Christopher TschanChristopher BowmanDuane DeSienoPublished in: Infotech@Aerospace (2012)
Keyphrases
- feature space
- machine learning
- feature selection
- feature vectors
- machine learning methods
- kernel methods
- machine learning algorithms
- dimensionality reduction
- learning algorithm
- artificial intelligence
- learning systems
- mean shift
- computational biology
- classification accuracy
- model selection
- image retrieval
- kernel function
- high dimensional
- supervised machine learning
- pattern recognition
- reinforcement learning
- feature extraction
- mercer kernels
- image representation
- explanation based learning
- knowledge acquisition
- text classification
- machine learning approaches
- decision trees
- computational intelligence
- high dimensionality
- support vector machine
- knowledge representation
- data points
- active learning
- natural language
- neural network
- natural language processing
- computer vision
- genetic algorithm
- data mining
- training samples
- semi supervised learning
- image classification
- transfer learning
- supervised learning
- statistical methods
- information extraction
- multiscale
- training data
- kernel pca
- high dimensional feature space
- data sets