Statistical Likelihood Representations of Prior Knowledge in Machine Learning.
Mark A. KonLeszek PlaskotaAndrzej W. PrzybyszewskiPublished in: Artificial Intelligence and Applications (2005)
Keyphrases
- machine learning
- prior knowledge
- statistical methods
- statistical inference
- data mining
- machine learning methods
- natural language processing
- domain knowledge
- statistical models
- knowledge acquisition
- learning tasks
- statistical approaches
- learning problems
- prior information
- learning systems
- statistical tests
- explanation based learning
- statistical information
- machine learning algorithms
- learning algorithm
- artificial intelligence
- feature selection
- information extraction
- natural language
- training data
- statistical analysis
- inductive learning
- incorporation of prior knowledge
- likelihood ratio
- symbolic representation
- machine learning approaches
- computational biology
- pattern recognition
- latent variables
- bayesian framework
- data analysis
- text classification
- maximum likelihood
- model selection
- transfer learning
- unsupervised learning