Title :
Investigating models of computational learning theory
Author_Institution :
Dept. of Comput. Sci. & Eng., Bahria Univ., Karachi
Abstract :
This paper presents some of the important models (frameworks) in computational learning theory such as learning in the limit, learning from queries and entailment and probably approximately correct learning.
Keywords :
learning (artificial intelligence); approximately correct learning; computational learning theory; Algorithm design and analysis; Artificial intelligence; Computational modeling; Computer science; Control theory; Gold; Humans; Intelligent systems; Machine learning; Statistics; Computational learning theory; inductive inference; learning from entailment; learning from queries; learning in the limit; probably approximately correct learning;
Conference_Titel :
Multitopic Conference, 2008. INMIC 2008. IEEE International
Conference_Location :
Karachi
Print_ISBN :
978-1-4244-2823-6
Electronic_ISBN :
978-1-4244-2824-3
DOI :
10.1109/INMIC.2008.4777774
