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Volumn , Issue , 2016, Pages 370-378

Deep kernel learning

Author keywords

[No Author keywords available]

Indexed keywords

ARCHITECTURE; ARTIFICIAL INTELLIGENCE; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LARGE DATASET;

EID: 85067571627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (895)

References (32)
  • 7
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • Hinton, G. E., Osindero, S., and Teh, Y. W. (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
  • 10
    • 84952349298 scopus 로고    scopus 로고
    • Unifying visual-semantic embeddings with multimodal neural language models
    • Kiros, R., Salakhutdinov, R., and Zemel, R. (2014). Unifying visual-semantic embeddings with multimodal neural language models. TACL.
    • (2014) TACL
    • Kiros, R.1    Salakhutdinov, R.2    Zemel, R.3
  • 13
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Y., Bottou, L., Bengio, Y., and Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278–2324.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 15
    • 0003319647 scopus 로고    scopus 로고
    • Introduction to gaussian processes
    • Bishop, C. M., editor, chapter 11, Springer-Verlag
    • MacKay, D. J. (1998). Introduction to Gaussian processes. In Bishop, C. M., editor, Neural Networks and Machine Learning, chapter 11, pages 133–165. Springer-Verlag.
    • (1998) Neural Networks and Machine Learning , pp. 133-165
    • MacKay, D.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.