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Volumn 4, Issue , 2016, Pages 2929-2938

Associative long short-term memory

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASSOCIATIVE PROCESSING; BRAIN; COMPLEX NETWORKS; HOLOGRAPHY; LEARNING SYSTEMS; RECURRENT NEURAL NETWORKS;

EID: 84999054163     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (48)

References (19)
  • 2
    • 0034293152 scopus 로고    scopus 로고
    • Learning to forget: Continual prediction with lstm
    • Gers, Felix A, Schmidhuber, Jiirgen, and Cummins, Fred. Learning to forget: Continual prediction with lstm. Neural computation, 12(10):2451-2471, 2000.
    • (2000) Neural Computation , vol.12 , Issue.10 , pp. 2451-2471
    • Gers, F.A.1    Schmidhuber, J.2    Cummins, F.3
  • 9
    • 84965117324 scopus 로고    scopus 로고
    • Inferring algorithmic patterns with stack-augmented recurrent nets
    • Joulin, Armand and Mikolov, Tomas. Inferring algorithmic patterns with stack-augmented recurrent nets. In Advances in Neural Information Processing Systems 28, pp. 190-198. 2015.
    • (2015) Advances in Neural Information Processing Systems , vol.28 , pp. 190-198
    • Joulin, A.1    Mikolov, T.2
  • 11
    • 77949268637 scopus 로고    scopus 로고
    • Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors
    • Kanerva, Pentti. Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors. Cognitive Computation, 1(2): 139-159, 2009.
    • (2009) Cognitive Computation , vol.1 , Issue.2 , pp. 139-159
    • Kanerva, P.1
  • 17
    • 84928547704 scopus 로고    scopus 로고
    • Sequence to sequence learning with neural networks. In Advances in Neural Information
    • Sutskever, Ilya, Vinyals, Oriol, and Le, Quoc VV. Sequence to sequence learning with neural networks. In Advances in Neural Information Processing Systems, pp. 3104-3112, 2014.
    • (2014) Processing Systems , pp. 3104-3112
    • Sutskever, I.1    Vinyals, O.2    Le, Q.V.V.3
  • 18
    • 0001609567 scopus 로고
    • An efficient gradient- based algorithm for on-line training of recurrent network trajectories
    • Williams, Ronald J and Peng, Jing. An efficient gradient- based algorithm for on-line training of recurrent network trajectories. Neural computation, 2(4):490-501, 1990.
    • (1990) Neural Computation , vol.2 , Issue.4 , pp. 490-501
    • Williams, R.J.1    Peng, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.