메뉴 건너뛰기




Volumn 11, Issue 3, 2016, Pages 45-55

Statistical Learning Theory and ELM for Big Social Data Analysis

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; DATA HANDLING; INFORMATION ANALYSIS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; PUBLIC RELATIONS;

EID: 84979680823     PISSN: 1556603X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCI.2016.2572540     Document Type: Article
Times cited : (102)

References (96)
  • 2
    • 84924594811 scopus 로고    scopus 로고
    • Guest editorial: Big social data analysis
    • E. Cambria, H. Wang, and B. White, "Guest editorial: Big social data analysis, " Knowledge-Based Syst., vol. 69, pp. 1-2, 2014.
    • (2014) Knowledge-Based Syst , vol.69 , pp. 1-2
    • Cambria, E.1    Wang, H.2    White, B.3
  • 3
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik, "Support-vector networks, " Machine Learn., vol. 20, no. 3, pp. 273-297, 1995.
    • (1995) Machine Learn , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 5
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • T. Cover and P. Hart, "Nearest neighbor pattern classification, " IEEE Trans. Inform. Theory, vol. 13, no. 1, pp. 21-27, 1967.
    • (1967) IEEE Trans. Inform. Theory , vol.13 , Issue.1 , pp. 21-27
    • Cover, T.1    Hart, P.2
  • 6
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, "Random forests, " Machine Learn., vol. 45, no. 1, pp. 5-32, 2001.
    • (2001) Machine Learn , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 9
    • 84908682236 scopus 로고    scopus 로고
    • Trends in extreme learning machines: A review
    • G. Huang, G. B. Huang, S. Song, and K. You, "Trends in extreme learning machines: A review, " Neural Networks, vol. 61, pp. 32-48, 2015.
    • (2015) Neural Networks , vol.61 , pp. 32-48
    • Huang, G.1    Huang, G.B.2    Song, S.3    You, K.4
  • 10
    • 84927804633 scopus 로고    scopus 로고
    • ELM: Distributed extreme learning machine with mapreduce
    • J. Xin, Z. Wang, C. Chen, L. Ding, G. Wang, and Y. Zhao, "ELM: Distributed extreme learning machine with mapreduce, " World Wide Web, vol. 17, no. 5, pp. 1189-1204, 2014.
    • (2014) World Wide Web , vol.17 , Issue.5 , pp. 1189-1204
    • Xin, J.1    Wang, Z.2    Chen, C.3    Ding, L.4    Wang, G.5    Zhao, Y.6
  • 11
    • 84870243622 scopus 로고    scopus 로고
    • Parallel extreme learning machine for regression based on mapreduce
    • Q. He, T. Shang, F. Zhuang, and Z. Shi, "Parallel extreme learning machine for regression based on mapreduce, " Neurocomputing, vol. 102, pp. 52-58, 2013.
    • (2013) Neurocomputing , vol.102 , pp. 52-58
    • He, Q.1    Shang, T.2    Zhuang, F.3    Shi, Z.4
  • 12
    • 85016363438 scopus 로고    scopus 로고
    • Parallel ensemble of online sequential extreme learning machine based on mapreduce
    • S. Huang, B. Wang, J. Qiu, J. Yao, G. Wang, and G. Yu, "Parallel ensemble of online sequential extreme learning machine based on mapreduce, " in Proc. ELM-2014, 2015.
    • (2015) Proc. ELM-2014
    • Huang, S.1    Wang, B.2    Qiu, J.3    Yao, J.4    Wang, G.5    Yu, G.6
  • 16
    • 84959859043 scopus 로고    scopus 로고
    • High-performance extreme learning machines: A complete toolbox for big data applications
    • A. Akusok, K. M. Bjork, Y. Miche, and A. Lendasse, "High-performance extreme learning machines: A complete toolbox for big data applications, " IEEE Access, vol. 3, pp. 1011-1025, 2015.
    • (2015) IEEE Access , vol.3 , pp. 1011-1025
    • Akusok, A.1    Bjork, K.M.2    Miche, Y.3    Lendasse, A.4
  • 18
    • 84939199851 scopus 로고    scopus 로고
    • Big data analytics in the cloud: Spark on hadoop vs MPI/openMP on Beowulf
    • Aug
    • J. L. Reyes-Ortiz, L. Oneto, and D. Anguita, "Big data analytics in the cloud: Spark on hadoop vs MPI/openMP on Beowulf, " Procedia Comp. Sci., vol. 53, pp. 121-130, Aug. 2015.
    • (2015) Procedia Comp. Sci , vol.53 , pp. 121-130
    • Reyes-Ortiz, J.L.1    Oneto, L.2    Anguita, D.3
  • 20
    • 0000245743 scopus 로고    scopus 로고
    • Statistical modeling: The two cultures (with comments and a rejoinder by the author)
    • L. Breiman, "Statistical modeling: The two cultures (with comments and a rejoinder by the author), " Stat. Sci., vol. 16, no. 3, pp. 199-231, 2001.
    • (2001) Stat. Sci , vol.16 , Issue.3 , pp. 199-231
    • Breiman, L.1
  • 21
    • 84888424872 scopus 로고    scopus 로고
    • Data science and prediction
    • V. Dhar, "Data science and prediction, " Commun. ACM, vol. 56, no. 12, pp. 64-73, 2013.
    • (2013) Commun ACM , vol.56 , Issue.12 , pp. 64-73
    • Dhar, V.1
  • 22
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • V. N. Vapnik, "An overview of statistical learning theory, " IEEE Trans. Neural Networks, vol. 10, no. 5, pp. 988-999, 1999.
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1
  • 23
    • 0035397715 scopus 로고    scopus 로고
    • Rademacher penalties and structural risk minimization
    • V. Koltchinskii, "Rademacher penalties and structural risk minimization, " IEEE Trans. Inform. Theory, vol. 47, no. 5, pp. 1902-1914, 2001.
    • (2001) IEEE Trans. Inform. Theory , vol.47 , Issue.5 , pp. 1902-1914
    • Koltchinskii, V.1
  • 24
    • 26444592981 scopus 로고    scopus 로고
    • Local rademacher complexities
    • P. L. Bartlett, O. Bousquet, and S. Mendelson, "Local rademacher complexities, " Ann. Stat., vol. 33, no. 4, pp. 1497-1537, 2005.
    • (2005) Ann. Stat , vol.33 , Issue.4 , pp. 1497-1537
    • Bartlett, P.L.1    Bousquet, O.2    Mendelson, S.3
  • 26
    • 84939779196 scopus 로고    scopus 로고
    • Fully empirical and data-dependent stability-based bounds
    • L. Oneto, A. Ghio, S. Ridella, and D. Anguita, "Fully empirical and data-dependent stability-based bounds, " IEEE Trans. Cybernetics, vol. 45, no. 9, pp. 1913-1926, 2015.
    • (2015) IEEE Trans. Cybernetics , vol.45 , Issue.9 , pp. 1913-1926
    • Oneto, L.1    Ghio, A.2    Ridella, S.3    Anguita, D.4
  • 27
    • 0021518106 scopus 로고
    • A theory of the learnable
    • L. G. Valiant, "A theory of the learnable, " Commun. ACM, vol. 27, no. 11, pp. 1134-1142, 1984.
    • (1984) Commun ACM , vol.27 , Issue.11 , pp. 1134-1142
    • Valiant, L.G.1
  • 28
    • 0036643049 scopus 로고    scopus 로고
    • Model selection and error estimation
    • P. L. Bartlett, S. Boucheron, and G. Lugosi, "Model selection and error estimation, " Machine Learn., vol. 48, no. 1-3, pp. 85-113, 2002.
    • (2002) Machine Learn , vol.48 , Issue.1-3 , pp. 85-113
    • Bartlett, P.L.1    Boucheron, S.2    Lugosi, G.3
  • 29
    • 21844462365 scopus 로고    scopus 로고
    • Tutorial on practical prediction theory for classification
    • J. Langford, "Tutorial on practical prediction theory for classification, " J. Machine Learn. Res., vol. 6, no. 1, pp. 273, 2006.
    • (2006) J. Machine Learn. Res , vol.6 , Issue.1 , pp. 273
    • Langford, J.1
  • 30
    • 84875879529 scopus 로고    scopus 로고
    • In-sample and out-of-sample model selection and error estimation for support vector machines
    • D. Anguita, A. Ghio, L. Oneto, and S. Ridella, "In-sample and out-of-sample model selection and error estimation for support vector machines, " IEEE Trans. Neural Network Learn. Syst., vol. 23, no. 9, pp. 1390-1406, 2012.
    • (2012) IEEE Trans. Neural Network Learn. Syst , vol.23 , Issue.9 , pp. 1390-1406
    • Anguita, D.1    Ghio, A.2    Oneto, L.3    Ridella, S.4
  • 31
    • 84899050913 scopus 로고    scopus 로고
    • Jumping NLP curves: A review of natural language processing research
    • E. Cambria and B. White, "Jumping NLP curves: A review of natural language processing research, " IEEE Comput. Intell. Mag., vol. 9, no. 2, pp. 48-57, 2014.
    • (2014) IEEE Comput. Intell. Mag , vol.9 , Issue.2 , pp. 48-57
    • Cambria, E.1    White, B.2
  • 32
    • 84880172556 scopus 로고    scopus 로고
    • Knowledge-based approaches to concept-level sentiment analysis
    • E. Cambria, B. Schuller, B. Liu, H. Wang, and C. Havasi, "Knowledge-based approaches to concept-level sentiment analysis, " IEEE Intell. Syst., vol. 28, no. 2, pp. 12-14, 2013.
    • (2013) IEEE Intell. Syst , vol.28 , Issue.2 , pp. 12-14
    • Cambria, E.1    Schuller, B.2    Liu, B.3    Wang, H.4    Havasi, C.5
  • 33
    • 84884180388 scopus 로고    scopus 로고
    • Statistical approaches to concept-level sentiment analysis
    • E. Cambria, B. Schuller, B. Liu, H. Wang, and C. Havasi, "Statistical approaches to concept-level sentiment analysis, " IEEE Intell. Syst., vol. 28, no. 3, pp. 6-9, 2013.
    • (2013) IEEE Intell. Syst , vol.28 , Issue.3 , pp. 6-9
    • Cambria, E.1    Schuller, B.2    Liu, B.3    Wang, H.4    Havasi, C.5
  • 34
    • 84893375456 scopus 로고    scopus 로고
    • Frame-based detection of opinion holders and topics: A model and a tool
    • A. Gangemi, V. Presutti, and D. Reforgiato, "Frame-based detection of opinion holders and topics: A model and a tool, " IEEE Comput. Intell. Mag., vol. 9, no. 1, pp. 20-30, 2014.
    • (2014) IEEE Comput. Intell. Mag , vol.9 , Issue.1 , pp. 20-30
    • Gangemi, A.1    Presutti, V.2    Reforgiato, D.3
  • 36
    • 84908152207 scopus 로고    scopus 로고
    • SenticNet 3: A common and common-sense knowledge base for cognition-driven sentiment analysis
    • E. Cambria, D. Olsher, and D. Rajagopal, "SenticNet 3: A common and common-sense knowledge base for cognition-driven sentiment analysis, " in Proc. AAAI, Quebec, 2014, pp. 1515-1521.
    • (2014) Proc. AAAI, Quebec , pp. 1515-1521
    • Cambria, E.1    Olsher, D.2    Rajagopal, D.3
  • 37
    • 84944871800 scopus 로고    scopus 로고
    • Sentiment data flow analysis by means of dynamic linguistic patterns
    • S. Poria, E. Cambria, A. Gelbukh, F. Bisio, and A. Hussain, "Sentiment data flow analysis by means of dynamic linguistic patterns, " IEEE Comput. Intell. Mag., vol. 10, no. 4, pp. 26-36, 2015.
    • (2015) IEEE Comput. Intell. Mag , vol.10 , Issue.4 , pp. 26-36
    • Poria, S.1    Cambria, E.2    Gelbukh, A.3    Bisio, F.4    Hussain, A.5
  • 41
    • 84943617823 scopus 로고    scopus 로고
    • Deep convolutional neural network textual features and multiple kernel learning for utterance-level multimodal sentiment analysis
    • S. Poria, E. Cambria, and A. Gelbukh, "Deep convolutional neural network textual features and multiple kernel learning for utterance-level multimodal sentiment analysis, " in Proc. EMNLP, 2015, pp. 2539-2544.
    • (2015) Proc. EMNLP , pp. 2539-2544
    • Poria, S.1    Cambria, E.2    Gelbukh, A.3
  • 42
    • 11144336199 scopus 로고    scopus 로고
    • The nature of statistical learning theory
    • V. Cherkassky, "The nature of statistical learning theory, " IEEE Trans. Neural Networks, vol. 8, no. 6, pp. 1564-1564, 1997.
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.6 , pp. 1564
    • Cherkassky, V.1
  • 43
    • 84860443491 scopus 로고    scopus 로고
    • From databases to big data
    • S. Madden, "From databases to big data, " IEEE Internet Comput., no. 3, pp. 4-6, 2012.
    • (2012) IEEE Internet Comput , Issue.3 , pp. 4-6
    • Madden, S.1
  • 44
    • 84963740967 scopus 로고    scopus 로고
    • Big data analysis: Apache spark perspective
    • A. G. Shoro and T. R. Soomro, "Big data analysis: Apache spark perspective, " Global J. Comp. Sci. Technol., vol. 15, no. 1, 2015.
    • (2015) Global J. Comp. Sci. Technol , vol.15 , Issue.1
    • Shoro, A.G.1    Soomro, T.R.2
  • 47
    • 84919336343 scopus 로고    scopus 로고
    • Extreme learning machines
    • E. Cambria and G. B. Huang, "Extreme learning machines, " IEEE Intell. Syst., vol. 28, no. 6, pp. 30-59, 2013.
    • (2013) IEEE Intell. Syst , vol.28 , Issue.6 , pp. 30-59
    • Cambria, E.1    Huang, G.B.2
  • 48
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: Theory and applications
    • G. B. Huang, Q. Y. Zhu, and C. K. Siew, "Extreme learning machine: Theory and applications, " Neurocomputing, vol. 70, no. 1, pp. 489-501, 2006.
    • (2006) Neurocomputing , vol.70 , Issue.1 , pp. 489-501
    • Huang, G.B.1    Zhu, Q.Y.2    Siew, C.K.3
  • 49
    • 0030817465 scopus 로고    scopus 로고
    • Circular backpropagation networks for classification
    • S. Ridella, S. Rovetta, and R. Zunino, "Circular backpropagation networks for classification, " IEEE Trans. Neural Networks, vol. 8, no. 1, pp. 84-97, 1997.
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.1 , pp. 84-97
    • Ridella, S.1    Rovetta, S.2    Zunino, R.3
  • 51
    • 33745918399 scopus 로고    scopus 로고
    • Universal approximation using incremental constructive feedforward networks with random hidden nodes
    • G. B. Huang, L. Chen, and C. K. Siew, "Universal approximation using incremental constructive feedforward networks with random hidden nodes, " IEEE Trans. Neural Networks, vol. 17, no. 4, pp. 879-892, 2006.
    • (2006) IEEE Trans. Neural Networks , vol.17 , Issue.4 , pp. 879-892
    • Huang, G.B.1    Chen, L.2    Siew, C.K.3
  • 52
    • 84951000029 scopus 로고    scopus 로고
    • A learning scheme based on similarity functions for affective common-sense reasoning
    • F. Bisio, P. Gastaldo, R. Zunino, and E. Cambria, "A learning scheme based on similarity functions for affective common-sense reasoning, " in Proc. IJCNN, 2015, pp. 2476-2481.
    • (2015) Proc. IJCNN , pp. 2476-2481
    • Bisio, F.1    Gastaldo, P.2    Zunino, R.3    Cambria, E.4
  • 53
    • 84859007933 scopus 로고    scopus 로고
    • Extreme learning machine for regression and multiclass classification
    • G. B. Huang, H. Zhou, X. Ding, and R. Zhang, "Extreme learning machine for regression and multiclass classification, " IEEE Trans. Syst. Man Cybern. B, vol. 42, no. 2, pp. 513-529, 2012.
    • (2012) IEEE Trans. Syst. Man Cybern. B , vol.42 , Issue.2 , pp. 513-529
    • Huang, G.B.1    Zhou, H.2    Ding, X.3    Zhang, R.4
  • 60
    • 34548536008 scopus 로고    scopus 로고
    • On the degrees of freedom of the lasso
    • H. Zou, T. Hastie, and R. Tibshirani, "On the degrees of freedom of the lasso, " Ann. Stat., vol. 35, no. 5, pp. 2173-2192, 2007.
    • (2007) Ann. Stat , vol.35 , Issue.5 , pp. 2173-2192
    • Zou, H.1    Hastie, T.2    Tibshirani, R.3
  • 61
    • 62549127689 scopus 로고    scopus 로고
    • Elastic-net regularization in learning theory
    • C. De Mol, E. De Vito, and L. Rosasco, "Elastic-net regularization in learning theory, " J. Complex., vol. 25, no. 2, pp. 201-230, 2009.
    • (2009) J. Complex , vol.25 , Issue.2 , pp. 201-230
    • De Mol, C.1    De Vito, E.2    Rosasco, L.3
  • 64
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • J. A. K. Suykens and J. Vandewalle, "Least squares support vector machine classifiers, " Neural Process. Lett., vol. 9, no. 3, pp. 293-300, 1999.
    • (1999) Neural Process. Lett , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 67
    • 0032099978 scopus 로고    scopus 로고
    • Automatic early stopping using cross validation: Quantifying the criteria
    • L. Prechelt, "Automatic early stopping using cross validation: quantifying the criteria, " Neural Networks, vol. 11, no. 4, pp. 761-767, 1998.
    • (1998) Neural Networks , vol.11 , Issue.4 , pp. 761-767
    • Prechelt, L.1
  • 68
    • 84939493213 scopus 로고    scopus 로고
    • Comparing apache spark and map reduce with performance analysis using k-means
    • S. Gopalani and R. Arora, "Comparing apache spark and map reduce with performance analysis using k-means, " Int. J. Comp. Appl., vol. 113, no. 1, 2015.
    • (2015) Int. J. Comp. Appl , vol.113 , Issue.1
    • Gopalani, S.1    Arora, R.2
  • 69
    • 77956649096 scopus 로고    scopus 로고
    • A survey of cross-validation procedures for model selection
    • S. Arlot and A. Celisse, "A survey of cross-validation procedures for model selection, " Stat. Survey., vol. 4, no. 2010, pp. 40-79, 2010.
    • (2010) Stat. Survey , vol.4 , Issue.2010 , pp. 40-79
    • Arlot, S.1    Celisse, A.2
  • 70
    • 0037399538 scopus 로고    scopus 로고
    • Pac-Bayesian stochastic model selection
    • D. A. McAllester, "Pac-bayesian stochastic model selection, " Machine Learn., vol. 51, no. 1, pp. 5-21, 2003.
    • (2003) Machine Learn , vol.51 , Issue.1 , pp. 5-21
    • McAllester, D.A.1
  • 71
    • 85164392958 scopus 로고
    • A study of cross-validation and bootstrap for accuracy estimation and model selection
    • R. Kohavi, "A study of cross-validation and bootstrap for accuracy estimation and model selection, " in Proc. Int. Joint Conf. Artificial Intelligence, San Francisco, CA, 1995, pp. 1137-1143.
    • (1995) Proc. Int. Joint Conf. Artificial Intelligence, San Francisco, CA , pp. 1137-1143
    • Kohavi, R.1
  • 72
    • 76749118521 scopus 로고    scopus 로고
    • Model selection: Beyond the Bayesian/frequentist divide
    • Mar
    • I. Guyon, A. Saffari, G. Dror, and G. Cawley, "Model selection: Beyond the Bayesian/frequentist divide, " J. Machine Learn. Res., vol. 11, pp. 61-87, Mar. 2010.
    • (2010) J. Machine Learn. Res , vol.11 , pp. 61-87
    • Guyon, I.1    Saffari, A.2    Dror, G.3    Cawley, G.4
  • 75
    • 84929104006 scopus 로고    scopus 로고
    • Global rademacher complexity bounds: From slow to fast convergence rates
    • Apr
    • L. Oneto, A. Ghio, S. Ridella, and D. Anguita, "Global rademacher complexity bounds: From slow to fast convergence rates, " Neural Processing Letter, vol. 43, no. 2, pp. 567-602, Apr. 2016.
    • (2016) Neural Processing Letter , vol.43 , Issue.2 , pp. 567-602
    • Oneto, L.1    Ghio, A.2    Ridella, S.3    Anguita, D.4
  • 76
    • 84923326912 scopus 로고    scopus 로고
    • Local rademacher complexity: Sharper risk bounds with and without unlabeled samples
    • May
    • L. Oneto, A. Ghio, S. Ridella, and D. Anguita, "Local rademacher complexity: Sharper risk bounds with and without unlabeled samples, " Neural Networks, vol. 65, pp. 115-125, May 2015.
    • (2015) Neural Networks , vol.65 , pp. 115-125
    • Oneto, L.1    Ghio, A.2    Ridella, S.3    Anguita, D.4
  • 78
    • 84873278768 scopus 로고    scopus 로고
    • Tighter pac-bayes bounds through distribution-dependent priors
    • G. Lever, F. Laviolette, and J. Shawe-Taylor, "Tighter pac-bayes bounds through distribution-dependent priors, " Theoretic. Comp. Sci., vol. 473, pp. 4-28, 2013.
    • (2013) Theoretic. Comp. Sci , vol.473 , pp. 4-28
    • Lever, G.1    Laviolette, F.2    Shawe-Taylor, J.3
  • 79
    • 0029521676 scopus 로고
    • Sample compression, learnability, and the vapnik-chervonenkis dimension
    • S. Floyd and M. Warmuth, "Sample compression, learnability, and the vapnik-chervonenkis dimension, " Machine Learn., vol. 21, no. 3, pp. 269-304, 1995.
    • (1995) Machine Learn , vol.21 , Issue.3 , pp. 269-304
    • Floyd, S.1    Warmuth, M.2
  • 80
    • 1842420581 scopus 로고    scopus 로고
    • General conditions for predictivity in learning theory
    • T. Poggio, R. Rifkin, S. Mukherjee, and P. Niyogi, "General conditions for predictivity in learning theory, " Nature, vol. 428, no. 6981, pp. 419-422, 2004.
    • (2004) Nature , vol.428 , Issue.6981 , pp. 419-422
    • Poggio, T.1    Rifkin, R.2    Mukherjee, S.3    Niyogi, P.4
  • 81
    • 11344278864 scopus 로고    scopus 로고
    • In-sample or out-of-sample tests of predictability: Which one should we use?
    • A. Inoue and L. Kilian, "In-sample or out-of-sample tests of predictability: Which one should we use?" Econometric Rev., vol. 23, no. 4, pp. 371-402, 2005.
    • (2005) Econometric Rev , vol.23 , Issue.4 , pp. 371-402
    • Inoue, A.1    Kilian, L.2
  • 82
    • 77957765197 scopus 로고    scopus 로고
    • Facial expression recognition in jaffe dataset based on Gaussian process classification
    • F. Cheng, J. Yu, and H. Xiong, "Facial expression recognition in jaffe dataset based on gaussian process classification, " IEEE Trans. Neural Networks, vol. 21, no. 10, pp. 1685-1690, 2010.
    • (2010) IEEE Trans. Neural Networks , vol.21 , Issue.10 , pp. 1685-1690
    • Cheng, F.1    Yu, J.2    Xiong, H.3
  • 84
    • 84947403595 scopus 로고
    • Probability inequalities for sums of bounded random variables
    • W. Hoeffding, "Probability inequalities for sums of bounded random variables, " J. Am. Stat. Assoc., vol. 58, no. 301, pp. 13-30, 1963.
    • (1963) J. Am. Stat. Assoc , vol.58 , Issue.301 , pp. 13-30
    • Hoeffding, W.1
  • 85
    • 0038453192 scopus 로고    scopus 로고
    • Rademacher and Gaussian complexities: Risk bounds and structural results
    • Mar
    • P. L. Bartlett and S. Mendelson, "Rademacher and gaussian complexities: Risk bounds and structural results, " J. Machine Learn. Res., vol. 3, pp. 463-482, Mar. 2003.
    • (2003) J. Machine Learn. Res , vol.3 , pp. 463-482
    • Bartlett, P.L.1    Mendelson, S.2
  • 86
    • 33746061490 scopus 로고    scopus 로고
    • Stability results in learning theory
    • A. Rakhlin, S. Mukherjee, and T. Poggio, "Stability results in learning theory, " Analysis Appl, vol. 3, no. 4, pp. 397-417, 2005.
    • (2005) Analysis Appl , vol.3 , Issue.4 , pp. 397-417
    • Rakhlin, A.1    Mukherjee, S.2    Poggio, T.3
  • 91
    • 0000149970 scopus 로고    scopus 로고
    • Statistical mechanics of support vector networks
    • R. Dietrich, M. Opper, and H. Sompolinsky, "Statistical mechanics of support vector networks, " Phys. Rev. Lett., vol. 82, no. 14, pp. 2975, 1999.
    • (1999) Phys. Rev. Lett , vol.82 , Issue.14 , pp. 2975
    • Dietrich, R.1    Opper, M.2    Sompolinsky, H.3
  • 92
    • 84963783209 scopus 로고    scopus 로고
    • Affective computing and sentiment analysis
    • E. Cambria, "Affective computing and sentiment analysis, " IEEE Intell. Syst., vol. 31, no. 2, pp. 102-107, 2016.
    • (2016) IEEE Intell. Syst , vol.31 , Issue.2 , pp. 102-107
    • Cambria, E.1
  • 93
    • 84969228568 scopus 로고    scopus 로고
    • An ELM-based model for affective analogical reasoning
    • Feb
    • E. Cambria, P. Gastaldo, F. Bisio, and R. Zunino, "An ELM-based model for affective analogical reasoning, " Neurocomputing, vol. 149, no. A, pp. 443-455, Feb. 2015.
    • (2015) Neurocomputing , vol.149 , pp. 443-455
    • Cambria, E.1    Gastaldo, P.2    Bisio, F.3    Zunino, R.4
  • 94
    • 84959482068 scopus 로고    scopus 로고
    • AffectiveSpace 2: Enabling affective intuition for concept-level sentiment analysis
    • Austin, TX
    • E. Cambria, J. Fu, F. Bisio, and S. Poria, "AffectiveSpace 2: Enabling affective intuition for concept-level sentiment analysis, " in Proc. AAAI, Austin, TX, 2015, pp. 508-514.
    • (2015) Proc. AAAI , pp. 508-514
    • Cambria, E.1    Fu, J.2    Bisio, F.3    Poria, S.4
  • 96
    • 84928102005 scopus 로고    scopus 로고
    • New trends of learning in computational intelligence [guest editorial]
    • G. Huang, E. Cambria, K. Toh, B. Widrow, and Z. Xu, "New trends of learning in computational intelligence [guest editorial], " IEEE Comput. Intell. Mag., vol. 10, no. 2, pp. 16-17, 2015.
    • (2015) IEEE Comput. Intell. Mag , vol.10 , Issue.2 , pp. 16-17
    • Huang, G.1    Cambria, E.2    Toh, K.3    Widrow, B.4    Xu, Z.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.