Theory-Practice Interplay in Machine Learning - Emerging Theoretical Challenges.
Shai Ben-DavidPublished in: ECML/PKDD (1) (2009)
Keyphrases
- machine learning
- theoretical basis
- theoretical frameworks
- practical significance
- theoretical models
- data mining
- lessons learned
- pattern recognition
- data analysis
- key issues
- computational model
- cognitive psychology
- theoretical insights
- statistical learning theory
- theoretical analysis
- machine learning algorithms
- real world
- theoretical framework
- decision trees
- text mining
- fundamental principles
- computer vision
- information extraction
- machine learning methods
- model selection
- text classification
- statistical methods
- knowledge representation
- support vector
- machine learning approaches
- explanation based learning
- feature selection
- quantum mechanics
- knowledge acquisition
- complexity theory
- theoretical issues
- coming years
- learning algorithm
- supervised learning