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Volumn 83, Issue , 2013, Pages

Decoding magnetoencephalographic rhythmic activity using spectrospatial information

Author keywords

Decoding; Independent component analysis; Linear discriminant analysis; Magnetoencephalography; Rhythmic activity; Time frequency analysis

Indexed keywords

ADULT; ARTICLE; AUDITORY STIMULATION; AUTOMATION; CLASSIFIER; CLUSTER ANALYSIS; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; FEMALE; HUMAN; HUMAN EXPERIMENT; MAGNETOENCEPHALOGRAPHY; MAGNETOENCEPHALOGRAPHY DEVICE; MALE; NEUROLOGICAL EQUIPMENT; NORMAL HUMAN; PRIORITY JOURNAL; SPECTRAL LINEAR DISCRIMINANT ANALYSIS; TACTILE STIMULATION; VISUAL STIMULATION;

EID: 84882803455     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.07.026     Document Type: Article
Times cited : (18)

References (65)
  • 1
    • 0242578049 scopus 로고    scopus 로고
    • Complex independent component analysis of frequency-domain electroencephalographic data
    • Anemüller J., Sejnowski T.J., Makeig S. Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks 2003, 16:1311-1323.
    • (2003) Neural Networks , vol.16 , pp. 1311-1323
    • Anemüller, J.1    Sejnowski, T.J.2    Makeig, S.3
  • 2
    • 77951197159 scopus 로고    scopus 로고
    • Covert attention allows for continuous control of brain-computer interfaces
    • Bahramisharif A., Van Gerven M., Heskes T., Jensen O. Covert attention allows for continuous control of brain-computer interfaces. Eur. J. Neurosci. 2010, 31:1501-1508.
    • (2010) Eur. J. Neurosci. , vol.31 , pp. 1501-1508
    • Bahramisharif, A.1    Van Gerven, M.2    Heskes, T.3    Jensen, O.4
  • 4
    • 0034136037 scopus 로고    scopus 로고
    • A fast fixed-point algorithm for independent component analysis of complex valued signals
    • Bingham E., Hyvärinen A. A fast fixed-point algorithm for independent component analysis of complex valued signals. Int. J. Neural Syst. 2000, 10:1-8.
    • (2000) Int. J. Neural Syst. , vol.10 , pp. 1-8
    • Bingham, E.1    Hyvärinen, A.2
  • 6
    • 79955024787 scopus 로고    scopus 로고
    • Single-trial analysis and classification of ERP components - a tutorial
    • Blankertz B., Lemm S., Treder M., Haufe S., Müller K.R.R. Single-trial analysis and classification of ERP components - a tutorial. NeuroImage 2011, 56:814-825.
    • (2011) NeuroImage , vol.56 , pp. 814-825
    • Blankertz, B.1    Lemm, S.2    Treder, M.3    Haufe, S.4    Müller, K.R.R.5
  • 7
    • 3042523540 scopus 로고    scopus 로고
    • Neuronal oscillations in cortical networks
    • Buzsáki G., Draguhn A. Neuronal oscillations in cortical networks. Science 2004, 304:1926-1929.
    • (2004) Science , vol.304 , pp. 1926-1929
    • Buzsáki, G.1    Draguhn, A.2
  • 8
    • 55149117963 scopus 로고    scopus 로고
    • Prediction and interpretation of distributed neural activity with sparse models
    • Carroll M.K., Cecchi G.A., Rish I., Garg R., Rao A.R. Prediction and interpretation of distributed neural activity with sparse models. NeuroImage 2009, 44:112-122.
    • (2009) NeuroImage , vol.44 , pp. 112-122
    • Carroll, M.K.1    Cecchi, G.A.2    Rish, I.3    Garg, R.4    Rao, A.R.5
  • 9
    • 78650962780 scopus 로고    scopus 로고
    • Decoding word and category-specific spatiotemporal representations from MEG and EEG
    • Chan A.M., Halgren E., Marinkovic K., Cash S.S. Decoding word and category-specific spatiotemporal representations from MEG and EEG. NeuroImage 2011, 54:3028-3039.
    • (2011) NeuroImage , vol.54 , pp. 3028-3039
    • Chan, A.M.1    Halgren, E.2    Marinkovic, K.3    Cash, S.S.4
  • 10
    • 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.D., Savoy R.L. Functional magnetic resonance imaging (fMRI) brain reading: detecting and classifying distributed patterns of fMRI activity in human visual cortex. NeuroImage 2003, 19:261-270.
    • (2003) NeuroImage , vol.19 , pp. 261-270
    • Cox, D.D.1    Savoy, R.L.2
  • 11
    • 84857278965 scopus 로고    scopus 로고
    • Combining sparseness and smoothness improves classification accuracy and interpretability
    • de Brecht M., Yamagishi N. Combining sparseness and smoothness improves classification accuracy and interpretability. NeuroImage 2012, 60:1550-1561.
    • (2012) NeuroImage , vol.60 , pp. 1550-1561
    • de Brecht, M.1    Yamagishi, N.2
  • 12
    • 52049116700 scopus 로고    scopus 로고
    • Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns
    • De Martino F., Valente G., Staeren N.l., Ashburner J., Goebel R., Formisano E. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns. NeuroImage 2008, 43:44-58.
    • (2008) NeuroImage , vol.43 , pp. 44-58
    • De Martino, F.1    Valente, G.2    Staeren, N.3    Ashburner, J.4    Goebel, R.5    Formisano, E.6
  • 14
    • 34247280547 scopus 로고    scopus 로고
    • Model selection for convolutive ICA with an application to spatiotemporal analysis of EEG
    • Dyrholm M., Makeig S., Hansen L.K. Model selection for convolutive ICA with an application to spatiotemporal analysis of EEG. Neural Comput. 2007, 19:934-955.
    • (2007) Neural Comput. , vol.19 , pp. 934-955
    • Dyrholm, M.1    Makeig, S.2    Hansen, L.K.3
  • 15
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • Friedman J.H., Hastie T., Tibshirani R. Regularization paths for generalized linear models via coordinate descent. J. Stat. Softw. 2010, 33:1-22.
    • (2010) J. Stat. Softw. , vol.33 , pp. 1-22
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.3
  • 17
    • 67649970590 scopus 로고    scopus 로고
    • Brain basis of human social interaction: from concepts to brain imaging
    • Hari R., Kujala M.V. Brain basis of human social interaction: from concepts to brain imaging. Physiol. Rev. 2009, 89:453-479.
    • (2009) Physiol. Rev. , vol.89 , pp. 453-479
    • Hari, R.1    Kujala, M.V.2
  • 18
    • 0031060037 scopus 로고    scopus 로고
    • Human cortical oscillations: a neuromagnetic view through the skull
    • Hari R., Salmelin R. Human cortical oscillations: a neuromagnetic view through the skull. Trends Neurosci. 1997, 20:44-49.
    • (1997) Trends Neurosci. , vol.20 , pp. 44-49
    • Hari, R.1    Salmelin, R.2
  • 19
    • 1542618117 scopus 로고    scopus 로고
    • Intersubject synchronization of cortical activity during natural vision
    • Hasson U., Nir Y., Levy I., Fuhrmann G., Malach R. Intersubject synchronization of cortical activity during natural vision. Science 2004, 303:1634-1640.
    • (2004) Science , vol.303 , pp. 1634-1640
    • Hasson, U.1    Nir, Y.2    Levy, I.3    Fuhrmann, G.4    Malach, R.5
  • 20
    • 37549010543 scopus 로고    scopus 로고
    • Enhanced intersubject correlations during movie viewing correlate with successful episodic encoding
    • Hasson U., Furman O., Clark D., Dudai Y., Davachi L. Enhanced intersubject correlations during movie viewing correlate with successful episodic encoding. Neuron 2008, 57:452-462.
    • (2008) Neuron , vol.57 , pp. 452-462
    • Hasson, U.1    Furman, O.2    Clark, D.3    Dudai, Y.4    Davachi, L.5
  • 22
    • 33745587777 scopus 로고    scopus 로고
    • Decoding mental states from brain activity in humans
    • Haynes J.D., Rees G. Decoding mental states from brain activity in humans. Nature Rev. Neurosci. 2006, 7:523-534.
    • (2006) Nature Rev. Neurosci. , vol.7 , pp. 523-534
    • Haynes, J.D.1    Rees, G.2
  • 23
    • 35348914971 scopus 로고    scopus 로고
    • Interparticipant correlations: a model free fMRI analysis technique
    • Hejnar M.P., Kiehl K.A., Calhoun V.D. Interparticipant correlations: a model free fMRI analysis technique. Hum. Brain Mapp. 2007, 28:860-867.
    • (2007) Hum. Brain Mapp. , vol.28 , pp. 860-867
    • Hejnar, M.P.1    Kiehl, K.A.2    Calhoun, V.D.3
  • 24
  • 25
    • 70350070225 scopus 로고    scopus 로고
    • Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis
    • Hyvärinen A., Ramkumar P., Parkkonen L., Hari R. Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis. NeuroImage 2010, 49:257-271.
    • (2010) NeuroImage , vol.49 , pp. 257-271
    • Hyvärinen, A.1    Ramkumar, P.2    Parkkonen, L.3    Hari, R.4
  • 26
    • 17844380475 scopus 로고    scopus 로고
    • Decoding the visual and subjective contents of the human brain
    • Kamitani Y., Tong F. Decoding the visual and subjective contents of the human brain. Nature Neurosci. 2005, 8:679-685.
    • (2005) Nature Neurosci. , vol.8 , pp. 679-685
    • Kamitani, Y.1    Tong, F.2
  • 27
    • 79951589556 scopus 로고    scopus 로고
    • Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequency
    • (10 pp.)
    • Kauppi J.P., Jääskeläinen I.P., Sams M., Tohka J. Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequency. Front. Neuroinform. 2010, 4:5. (10 pp.).
    • (2010) Front. Neuroinform. , vol.4 , pp. 5
    • Kauppi, J.P.1    Jääskeläinen, I.P.2    Sams, M.3    Tohka, J.4
  • 30
    • 79955035342 scopus 로고    scopus 로고
    • Pattern-information analysis: from stimulus decoding to computational-model testing
    • Kriegeskorte N. Pattern-information analysis: from stimulus decoding to computational-model testing. NeuroImage 2011, 56:411-421.
    • (2011) NeuroImage , vol.56 , pp. 411-421
    • Kriegeskorte, N.1
  • 31
    • 84933672184 scopus 로고    scopus 로고
    • Naturalistic fMRI mapping reveals superior temporal sulcus as the hub for the distributed brain network for social perception
    • (14 pp.)
    • Lahnakoski J.M., Glerean E., Salmi J., Jääskeläinen I.P., Sams M., Hari R., Nummenmaa L. Naturalistic fMRI mapping reveals superior temporal sulcus as the hub for the distributed brain network for social perception. Front. Hum. Neurosci. 2012, 6:233. (14 pp.).
    • (2012) Front. Hum. Neurosci. , vol.6 , pp. 233
    • Lahnakoski, J.M.1    Glerean, E.2    Salmi, J.3    Jääskeläinen, I.P.4    Sams, M.5    Hari, R.6    Nummenmaa, L.7
  • 32
    • 0031039762 scopus 로고    scopus 로고
    • Evidence for reactive magnetic 10-Hz rhythm in the human auditory cortex
    • Lehtelä L., Salmelin R., Hari R. Evidence for reactive magnetic 10-Hz rhythm in the human auditory cortex. Neurosci. Lett. 1997, 222:111-114.
    • (1997) Neurosci. Lett. , vol.222 , pp. 111-114
    • Lehtelä, L.1    Salmelin, R.2    Hari, R.3
  • 33
    • 79954990666 scopus 로고    scopus 로고
    • Introduction to machine learning for brain imaging
    • Lemm S., Blankertz B., Dickhaus T., Müller K.R. Introduction to machine learning for brain imaging. NeuroImage 2011, 56:387-399.
    • (2011) NeuroImage , vol.56 , pp. 387-399
    • Lemm, S.1    Blankertz, B.2    Dickhaus, T.3    Müller, K.R.4
  • 34
    • 77956652378 scopus 로고    scopus 로고
    • A frequency-weighted method combined with common spatial patterns for electroencephalogram classification in brain-computer interface
    • Liu G., Huang G., Meng J., Zhu X. A frequency-weighted method combined with common spatial patterns for electroencephalogram classification in brain-computer interface. Biomed. Signal Process. 2010, 5:174-180.
    • (2010) Biomed. Signal Process. , vol.5 , pp. 174-180
    • Liu, G.1    Huang, G.2    Meng, J.3    Zhu, X.4
  • 35
    • 33846976193 scopus 로고    scopus 로고
    • Towards natural stimulation in fMRI - issues of data analysis
    • Malinen S., Hlushchuk Y., Hari R. Towards natural stimulation in fMRI - issues of data analysis. NeuroImage 2007, 35:131-139.
    • (2007) NeuroImage , vol.35 , pp. 131-139
    • Malinen, S.1    Hlushchuk, Y.2    Hari, R.3
  • 38
    • 79953744160 scopus 로고    scopus 로고
    • EEG decoding of semantic category reveals distributed representations for single concepts
    • Murphy B., Poesio M., Bovolo F., Bruzzone L., Dalponte M., Lakany H. EEG decoding of semantic category reveals distributed representations for single concepts. Brain Lang. 2011, 117:12-22.
    • (2011) Brain Lang. , vol.117 , pp. 12-22
    • Murphy, B.1    Poesio, M.2    Bovolo, F.3    Bruzzone, L.4    Dalponte, M.5    Lakany, H.6
  • 40
    • 65549168742 scopus 로고    scopus 로고
    • Machine learning classifiers and fMRI: a tutorial overview
    • Pereira F., Mitchell T., Botvinick M. Machine learning classifiers and fMRI: a tutorial overview. NeuroImage 2009, 45:S199-S209.
    • (2009) NeuroImage , vol.45
    • Pereira, F.1    Mitchell, T.2    Botvinick, M.3
  • 41
    • 0000294854 scopus 로고    scopus 로고
    • Motor imagery and direct brain-computer communication
    • Pfurtscheller G., Neuper C. Motor imagery and direct brain-computer communication. IEEE Proc. 2001, 89:1123-1134.
    • (2001) IEEE Proc. , vol.89 , pp. 1123-1134
    • Pfurtscheller, G.1    Neuper, C.2
  • 42
    • 84862269359 scopus 로고    scopus 로고
    • Characterization of neuromagnetic brain rhythms over time scales of minutes using spatial independent component analysis
    • Ramkumar P., Parkkonen L., Hari R., Hyvärinen A. Characterization of neuromagnetic brain rhythms over time scales of minutes using spatial independent component analysis. Hum. Brain Mapp. 2012, 33:1648-1662.
    • (2012) Hum. Brain Mapp. , vol.33 , pp. 1648-1662
    • Ramkumar, P.1    Parkkonen, L.2    Hari, R.3    Hyvärinen, A.4
  • 43
    • 84877114821 scopus 로고    scopus 로고
    • Feature-specific information processing precedes concerted activation in human visual cortex
    • Ramkumar P., Jas M., Pannasch S., Hari R., Parkkonen L. Feature-specific information processing precedes concerted activation in human visual cortex. J. Neurosci. 2013, 33:7691-7699.
    • (2013) J. Neurosci. , vol.33 , pp. 7691-7699
    • Ramkumar, P.1    Jas, M.2    Pannasch, S.3    Hari, R.4    Parkkonen, L.5
  • 44
    • 79551489429 scopus 로고    scopus 로고
    • Gaussian processes for machine learning (GPML) toolbox
    • Rasmussen C.E., Nickisch H. Gaussian processes for machine learning (GPML) toolbox. J. Mach. Learn. Res. 2010, 11:3011-3015.
    • (2010) J. Mach. Learn. Res. , vol.11 , pp. 3011-3015
    • Rasmussen, C.E.1    Nickisch, H.2
  • 45
    • 84857059478 scopus 로고    scopus 로고
    • Model sparsity and brain pattern interpretation of classification models in neuroimaging
    • Rasmussen P.M., Hansen L.K., Madsen K.H., Churchill N.W., Strother S.C. Model sparsity and brain pattern interpretation of classification models in neuroimaging. Pattern Recogn. 2012, 45:2085-2100.
    • (2012) Pattern Recogn. , vol.45 , pp. 2085-2100
    • Rasmussen, P.M.1    Hansen, L.K.2    Madsen, K.H.3    Churchill, N.W.4    Strother, S.C.5
  • 48
    • 77951976541 scopus 로고    scopus 로고
    • Sparse logistic regression for whole brain classification of fMRI data
    • Ryali S., Supekar K., Abrams D.A., Menon V. Sparse logistic regression for whole brain classification of fMRI data. NeuroImage 2010, 51:752-764.
    • (2010) NeuroImage , vol.51 , pp. 752-764
    • Ryali, S.1    Supekar, K.2    Abrams, D.A.3    Menon, V.4
  • 49
    • 84855282767 scopus 로고    scopus 로고
    • Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty
    • Ryali S., Chen T., Supekar K., Menon V. Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty. NeuroImage 2012, 59:3852-3861.
    • (2012) NeuroImage , vol.59 , pp. 3852-3861
    • Ryali, S.1    Chen, T.2    Supekar, K.3    Menon, V.4
  • 50
    • 84866542387 scopus 로고    scopus 로고
    • Regularized logistic regression and multiobjective variable selection for classifying MEG data
    • Santana R., Bielza C., Larrañaga P. Regularized logistic regression and multiobjective variable selection for classifying MEG data. Biol. Cybern. 2012, 106:389-405.
    • (2012) Biol. Cybern. , vol.106 , pp. 389-405
    • Santana, R.1    Bielza, C.2    Larrañaga, P.3
  • 51
    • 78651239244 scopus 로고    scopus 로고
    • Identifying object categories from event-related EEG: toward decoding of conceptual representations
    • (12 pp.)
    • Simanova I., van Gerven M., Oostenveld R., Hagoort P. Identifying object categories from event-related EEG: toward decoding of conceptual representations. PloS One 2010, 5:e14465. (12 pp.).
    • (2010) PloS One , vol.5
    • Simanova, I.1    van Gerven, M.2    Oostenveld, R.3    Hagoort, P.4
  • 52
    • 0027481223 scopus 로고
    • Synchronization of cortical activity and its putative role in information processing and learning
    • Singer W. Synchronization of cortical activity and its putative role in information processing and learning. Annu. Rev. Physiol. 1993, 55:349-374.
    • (1993) Annu. Rev. Physiol. , vol.55 , pp. 349-374
    • Singer, W.1
  • 53
    • 34447542094 scopus 로고    scopus 로고
    • Decoding human brain activity during real-world experiences
    • Spiers H., Maguire E. Decoding human brain activity during real-world experiences. Trends Cogn. Sci. 2007, 11:356-365.
    • (2007) Trends Cogn. Sci. , vol.11 , pp. 356-365
    • Spiers, H.1    Maguire, E.2
  • 54
    • 84871786784 scopus 로고    scopus 로고
    • A novel Bayesian framework for discriminative feature extraction in brain-computer interfaces
    • Suk H.I., Lee S.W. A novel Bayesian framework for discriminative feature extraction in brain-computer interfaces. IEEE Trans. Pattern Anal. Mach. Intell. 2013, 35:286-299.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , pp. 286-299
    • Suk, H.I.1    Lee, S.W.2
  • 55
    • 21644445987 scopus 로고    scopus 로고
    • Presentation of electromagnetic multichannel data: The signal space separation method
    • (10 pp.)
    • Taulu S., Kajola M. Presentation of electromagnetic multichannel data: The signal space separation method. J. Appl. Phys. 2005, 97:124905. (10 pp.).
    • (2005) J. Appl. Phys. , vol.97 , pp. 124905
    • Taulu, S.1    Kajola, M.2
  • 57
    • 70349969800 scopus 로고    scopus 로고
    • A regularized discriminative framework for EEG analysis with application to brain-computer interface
    • Tomioka R., Müller K.R. A regularized discriminative framework for EEG analysis with application to brain-computer interface. NeuroImage 2010, 49:415-432.
    • (2010) NeuroImage , vol.49 , pp. 415-432
    • Tomioka, R.1    Müller, K.R.2
  • 58
    • 82955169665 scopus 로고    scopus 로고
    • Decoding patterns of human brain activity
    • Tong F., Pratte M.S. Decoding patterns of human brain activity. Annu. Rev. Psychol. 2012, 63:483-509.
    • (2012) Annu. Rev. Psychol. , vol.63 , pp. 483-509
    • Tong, F.1    Pratte, M.S.2
  • 59
    • 61649085174 scopus 로고    scopus 로고
    • Attention modulations of posterior alpha as a control signal for two-dimensional brain-computer interfaces
    • van Gerven M., Jensen O. Attention modulations of posterior alpha as a control signal for two-dimensional brain-computer interfaces. J. Neurosci. Methods 2009, 179:78-84.
    • (2009) J. Neurosci. Methods , vol.179 , pp. 78-84
    • van Gerven, M.1    Jensen, O.2
  • 60
    • 64949198342 scopus 로고    scopus 로고
    • Interpreting single trial data using groupwise regularisation
    • van Gerven M., Hesse C., Jensen O., Heskes T. Interpreting single trial data using groupwise regularisation. NeuroImage 2009, 46:665-676.
    • (2009) NeuroImage , vol.46 , pp. 665-676
    • van Gerven, M.1    Hesse, C.2    Jensen, O.3    Heskes, T.4
  • 61
    • 75249099795 scopus 로고    scopus 로고
    • Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior
    • van Gerven M.A., Cseke B., De Lange F.P., Heskes T. Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior. NeuroImage 2010, 50:150-161.
    • (2010) NeuroImage , vol.50 , pp. 150-161
    • van Gerven, M.A.1    Cseke, B.2    De Lange, F.P.3    Heskes, T.4
  • 62
    • 70350018310 scopus 로고    scopus 로고
    • Neural correlates of social cognition in naturalistic settings: a model-free analysis approach
    • Wolf I., Dziobek I., Heekeren H.R. Neural correlates of social cognition in naturalistic settings: a model-free analysis approach. NeuroImage 2010, 49:894-904.
    • (2010) NeuroImage , vol.49 , pp. 894-904
    • Wolf, I.1    Dziobek, I.2    Heekeren, H.R.3
  • 63
    • 55349089531 scopus 로고    scopus 로고
    • Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns
    • Yamashita O., Sato M.A., Yoshioka T., Tong F., Kamitani Y. Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns. NeuroImage 2008, 42:1414-1429.
    • (2008) NeuroImage , vol.42 , pp. 1414-1429
    • Yamashita, O.1    Sato, M.A.2    Yoshioka, T.3    Tong, F.4    Kamitani, Y.5
  • 64
    • 34548575207 scopus 로고    scopus 로고
    • Inferring functional brain states using temporal evolution of regularized classifiers
    • 52609
    • Zhdanov A., Hendler T., Ungerleider L., Intrator N. Inferring functional brain states using temporal evolution of regularized classifiers. Comput. Intell. Neurosci. 2007, 52609. (8 pp.).
    • (2007) Comput. Intell. Neurosci. , pp. 8
    • Zhdanov, A.1    Hendler, T.2    Ungerleider, L.3    Intrator, N.4
  • 65
    • 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. J. R. Stat. Soc. Series B (Stat. Meth.) 2005, 67:301-320.
    • (2005) J. R. Stat. Soc. Series B (Stat. Meth.) , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2


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