Managing interference between prior and later learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3316, Issue , 2004, Pages 458-464

  Coward, L Andrew ^a   Gedeon, Tamás D ^a   Ratnayake, Uditha ^a,b  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b OPEN UNIVERSITY OF SRI LANKA   (Sri Lanka)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

ALGORITHMS;

EID: 35048818065     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30499-9_70     Document Type: Article

References (6)

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3. Coward, L. A.. The Recommendation Architecture: lessons from the design of large scale electronic systems for cognitive science. Journal of Cognitive Systems Research Volume 2 (2001) 111-156
4. Coward, L. A., Gedeon, T. D. and Kenworthy, W. Application of the Recommendation Architecture to Telecommunications Network Management. Int. Journal of Neural Systems Volume 11. (2001) 323-327.
5. Ratnayake, U. and Gedeon, T. D. Application of the Recommendation Architecture for Discovering Associative Similarities in Documents. (2002) Proceedings of the 9th International Conference on Neural Information Processing.
6. Gokcay, E. and Principe, J. C. Information Theoretic Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 24 (2002) 158-169.