Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning.
Yi ZhangXiaoming JinPublished in: IJCAI (2007)
Keyphrases
- machine learning
- concept formation
- concept learning
- related concepts
- key concepts
- visual concepts
- formal concept analysis
- inductive logic programming
- concept space
- machine learning methods
- computational intelligence
- machine learning algorithms
- monte carlo
- information extraction
- computer vision
- target concept
- intermediate concepts
- natural language processing
- conceptual spaces
- learning algorithm
- set theory
- sampling algorithm
- explanation based learning
- concept lattice
- active learning
- learning systems
- small scale
- inductive learning
- real world
- learning tasks
- semi supervised learning
- relevant concepts
- learning paradigms
- sample size
- learning problems
- feature selection
- decision trees
- concept hierarchy
- computer science
- real life
- random sampling