메뉴 건너뛰기




Volumn 2, Issue , 2013, Pages 843-847

Multimodal DBN for predicting high-quality answers in cQA portals

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TASKS; DEEP LEARNING; HIGH QUALITY; INPUT FEATURES; LINEAR CLASSIFIERS; MULTI-MODAL;

EID: 84907328529     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (34)

References (18)
  • 5
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G.E. Hinton and R.R. Salakhutdinov. 2006. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 6
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • G.E. Hinton, S. Osindero, and Y.W. Teh. 2006. A fast learning algorithm for deep belief nets. Neural computation, 18(7):1527-1554.
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.W.3
  • 7
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • G.E. Hinton. 2002. Training products of experts by minimizing contrastive divergence. Neural computation, 14(8):1771-1800.
    • (2002) Neural Computation , vol.14 , Issue.8 , pp. 1771-1800
    • Hinton, G.E.1
  • 8
    • 84872506495 scopus 로고    scopus 로고
    • A practical guide to training restricted boltzmann machines
    • G.E. Hinton. 2012. A practical guide to training restricted boltzmann machines. Lecture Notes in Computer Science, pages 599-619.
    • (2012) Lecture Notes in Computer Science , pp. 599-619
    • Hinton, G.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.