Feature Extraction for Machine Learning: Logic-Probabilistic Approach.
Vladimir GorodetskyVladimir SamoilovPublished in: FSDM (2010)
Keyphrases
- machine learning
- feature extraction
- probabilistic logic
- feature selection
- pattern recognition
- knowledge acquisition
- logical inference
- probability theory
- decision trees
- discriminant analysis
- probabilistic knowledge
- probabilistic model
- machine learning algorithms
- learning algorithm
- image processing
- learning systems
- image classification
- texture analysis
- active learning
- pattern classification
- natural language processing
- generative model
- dimension reduction
- learning tasks
- uncertain data
- modal logic
- logic programming
- feature set
- computational intelligence
- information extraction
- feature vectors
- image preprocessing
- defect detection
- neural network
- feature extractors
- iris recognition
- text classification
- wavelet transform
- feature space
- data analysis
- computer science
- artificial intelligence
- data mining