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Volumn 2012, Issue , 2012, Pages

Exploring many-core design templates for FPGAs and ASICs

Author keywords

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Indexed keywords


EID: 84855263806     PISSN: 16877195     EISSN: 16877209     Source Type: Journal    
DOI: 10.1155/2012/439141     Document Type: Article
Times cited : (9)

References (24)
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    • Sparse inverse covariance estimation with the graphical lasso
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    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 11
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman D., Geiger D., Chickering D. M., Learning Bayesian networks: the combination of knowledge and statistical data Machine Learning 1995 20 3 197 243
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 16
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    • Learning causal Bayesian network structures from experimental data
    • Ellis B., Wong W. H., Learning causal Bayesian network structures from experimental data Journal of the American Statistical Association 2008 103 482 778 789
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    • Ellis, B.1    Wong, W.H.2
  • 17
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    • Ordering-based search: A simple and effective algorithm for learning Bayesian networks
    • July Edinburgh, UK
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    • Teyssier, M.1    Koller, D.2
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  • 21
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    • NVIDIA OpenCL Best Practices Guide, 2009, http://www.nvidia.com/content/ cudazone/CUDABrowser/downloads/papers/NVIDIAOpenCLBestPracticesGuide.pdf
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.