Getting more information out of SDM

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

Volumn 1112 LNCS, Issue , 1996, Pages 477-482

  Sjödin, Gunnar ^a  

^a SWEDISH INSTITUTE OF COMPUTER SCIENCE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS; NEURAL NETWORKS;

IMPLICIT INFORMATIONS;

NEURAL NETWORKS; SPACE DIVISION MULTIPLE ACCESS;

EID: 84902177305     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61510-5_82     Document Type: Conference Paper

References (10)

1. Jaeckel, L.A. An alternative design for a Sparse Distributed Memory. Technical Report TR-89.28, RIACS, 1989.
2. Kanerva, P. Sparse Distributed Memory. The MIT Press, 1988.
3. Kanerva, P. Associative-memory models of the cerebellum. In I. Alexander and J. Taylor, editors, Artificial Neural Networks, 2, Proceedings ICANN '92. Elsevier, 1992.
4. Kanerva, P. Sparse distributed memory and related models. In Mohamad H. Hassoun, editor, Associative Neural Memories. Oxford University Press, 1993.
5. Karlsson, R. A fast activation mechanism for the Kanerva SDM memory, 1995. SICS Research Report R95:10, Swedish Institute of Computer Science.
6. Kristoferson, J. Best probabilities of activation and performance comparisons for several designs of Kanerva's SDM (Sparse Distributed Memory), 1995. SICS Research Report R95:09, Swedish Institute of Computer Science.
7. Kristoferson, J. Some comments on the information stored in sparse distributed memory, 1995. SICS Research Report R95:11, Swedish Institute of Computer Science.
8. Rogers, D. Using data tagging to improve the performance of Kanerva's sparse distributed memory. Technical Report TR-88.1, RIACS, 1988.
9. Sjödin, G. Convergence and new operations in SDM, 1995. SICS Research Report R95:13, Swedish Institute of Computer Science.
10. Sjödin, G. Improving the capacity of SDM, 1995. SICS Research Report R95:12, Swedish Institute of Computer Science.