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Volumn 6357 LNCS, Issue , 2010, Pages 50-57

Multi-class sparse bayesian regression for neuroimaging data analysis

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BRAIN MAPPING; FORECASTING; LEARNING SYSTEMS;

EID: 77958045661     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15948-0_7     Document Type: Conference Paper
Times cited : (3)

References (14)
  • 2
    • 55149117963 scopus 로고    scopus 로고
    • Prediction and inter-pretation of distributed neural activity with sparse models
    • Carroll, M.K., Cecchi, G.A., Rish, I., Garg, R., Rao, A.R.: Prediction and inter-pretation of distributed neural activity with sparse models. NeuroImage 44(1), 112-122 (2009)
    • (2009) NeuroImage , vol.44 , Issue.1 , pp. 112-122
    • Carroll, M.K.1    Cecchi, G.A.2    Rish, I.3    Garg, R.4    Rao, A.R.5
  • 4
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes, C., Vapnik, V.: Support vector networks. Machine Learning 20, 273-297 (1995)
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 5
    • 0041737619 scopus 로고    scopus 로고
    • Functional magnetic resonance imaging (fMRI) "brain reading" detecting and classifying distributed patterns of fMRI activity in human visual cortex
    • Cox, D., Savoy, R.: Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex. NeuroImage 19(2), 261-270 (2003)
    • (2003) NeuroImage , vol.19 , Issue.2 , pp. 261-270
    • Cox, D.1    Savoy, R.2
  • 7
    • 57349088146 scopus 로고    scopus 로고
    • Graded size sensitivity of object exem-plar evoked activity patterns in human loc subregions
    • Eger, E., Kell, C., Kleinschmidt, A.: Graded size sensitivity of object exem-plar evoked activity patterns in human loc subregions. Journal of Neurophysi-ology 100(4), 2038-2047 (2008)
    • (2008) Journal of Neurophysiology , vol.100 , Issue.4 , pp. 2038-2047
    • Eger, E.1    Kell, C.2    Kleinschmidt, A.3
  • 11
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward, J.H.: Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 58(301), 236-244 (1963)
    • (1963) Journal of the American Statistical Association , vol.58 , Issue.301 , pp. 236-244
    • Ward, J.H.1
  • 12
    • 55349089531 scopus 로고    scopus 로고
    • Sparse es-timation automatically selects voxels relevant for the decoding of fMRI activity patterns
    • Yamashita, O., aki Sato, M., Yoshioka, T., Tong, F., Kamitani, Y.: Sparse es-timation automatically selects voxels relevant for the decoding of fMRI activity patterns. NeuroImage 42(4), 1414-1429 (2008)
    • (2008) NeuroImage , vol.42 , Issue.4 , pp. 1414-1429
    • Yamashita, O.1    Aki Sato, M.2    Yoshioka, T.3    Tong, F.4    Kamitani, Y.5
  • 14
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • Zou, H., Hastie, T.: Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society B 67, 301-320 (2005)
    • (2005) Journal of the Royal Statistical Society B , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.