메뉴 건너뛰기




Volumn 8754, Issue , 2014, Pages 302-317

A new method for vertical parallelisation of TAN learning based on balanced incomplete block designs

Author keywords

Bayesian networks; Parallel learning; TAN

Indexed keywords

BAYESIAN NETWORKS; CLASSIFIERS; GRAPHIC METHODS;

EID: 84921520769     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-11433-0_20     Document Type: Article
Times cited : (11)

References (24)
  • 2
    • 84866621641 scopus 로고    scopus 로고
    • Accelerating Bayesian network parameter learning using Hadoop and MapReduce
    • Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
    • Basak, A., Brinster, I., Ma, X., Mengshoel, O. J.: Accelerating Bayesian network parameter learning using Hadoop and MapReduce. In: Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, pp. 101-108 (2012).
    • (2012) Proceedings of the 1st International Workshop on Big Data , pp. 101-108
    • Basak, A.1    Brinster, I.2    Ma, X.3    Mengshoel, O.J.4
  • 3
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
    • Chow, C. K., Liu, C. N.: Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, IT 14(3), 462-467 (1968).
    • (1968) IEEE Transactions on Information Theory, IT , vol.14 , Issue.3 , pp. 462-467
    • Chow, C.K.1    Liu, C.N.2
  • 6
    • 84909743918 scopus 로고
    • A list of (v, b, r, k, λ) designs for r ≤ 30
    • Graph Theory and Computing
    • Di Paola, J. W., Wallis, J. S., Wallis, W. D.: A list of (v, b, r, k, λ) designs for r ≤ 30. In: Proc. 4th S-E Cont. Combinatorics, Graph Theory and Computing, pp. 249-258 (1973).
    • (1973) Proc. 4th S-E Cont. Combinatorics , pp. 249-258
    • Di Paola, J.W.1    Wallis, J.S.2    Wallis, W.D.3
  • 7
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple Bayesian classifier under zero-one loss
    • Domingos, P., Pazzani, M.: On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning, 103-130 (1997).
    • (1997) Machine Learning , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 8
    • 84875824725 scopus 로고    scopus 로고
    • MapReduce-Based Method for Learning Bayesian Network from Massive Data
    • Ishikawa, Y., Li, J., Wang, W., Zhang, R., Zhang, W. (eds.),. Springer, Heidelberg
    • Fang, Q., Yue, K., Fu, X., Wu, H., Liu, W.: MapReduce-Based Method for Learning Bayesian Network from Massive Data. In: Ishikawa, Y., Li, J., Wang, W., Zhang, R., Zhang, W. (eds.) APWeb 2013. LNCS, vol. 7808, pp. 697-708. Springer, Heidelberg (2013).
    • (2013) APWeb 2013. LNCS , vol.7808 , pp. 697-708
    • Fang, Q.1    Yue, K.2    Fu, X.3    Wu, H.4    Liu, W.5
  • 9
    • 0010851239 scopus 로고
    • An examination of the different possible solutions of a problem in incomplete blocks
    • Fisher, R. A.: An examination of the different possible solutions of a problem in incomplete blocks. Annals of Eugenics, 52-75 (1940).
    • (1940) Annals of Eugenics , pp. 52-75
    • Fisher, R.A.1
  • 13
    • 1642406584 scopus 로고
    • The Prime Power Conjecture is True for n < 2000000
    • Gordon, D. M.: The Prime Power Conjecture is True for n < 2000000. Electronic J. Combinatorics 1(1, R6), 1-7 (1994).
    • (1994) Electronic J. Combinatorics , vol.1 , Issue.1 R6 , pp. 1-7
    • Gordon, D.M.1
  • 18
    • 8344240433 scopus 로고    scopus 로고
    • The Hugin Tool for Learning Bayesian Networks
    • Nielsen, T.D., Zhang, N.L. (eds.),. Springer, Heidelberg
    • Madsen, A. L., Lang, M., Kjarulff, U. B., Jensen, F.: The Hugin Tool for Learning Bayesian Networks. In: Nielsen, T. D., Zhang, N. L. (eds.) ECSQARU 2003. LNCS (LNAI), vol. 2711, pp. 594-605. Springer, Heidelberg (2003).
    • (2003) ECSQARU 2003. LNCS (LNAI) , vol.2711 , pp. 594-605
    • Madsen, A.L.1    Lang, M.2    Kjarulff, U.B.3    Jensen, F.4
  • 20
    • 3843106208 scopus 로고    scopus 로고
    • An empirical study of the naive Bayes classifier
    • Rish, I.: An empirical study of the naive Bayes classifier. In: IJCAI Workshop on Empirical Methods in AI, pp. 41-46 (2001).
    • (2001) IJCAI Workshop on Empirical Methods in AI , pp. 41-46
    • Rish, I.1
  • 21
    • 77955124773 scopus 로고    scopus 로고
    • Learning Bayesian Networks with the bnlearn R Package
    • Scutari, M.: Learning Bayesian Networks with the bnlearn R Package. Journal of Statistical Software 35(3), 1-22 (2010).
    • (2010) Journal of Statistical Software , vol.35 , Issue.3 , pp. 1-22
    • Scutari, M.1
  • 24
    • 21844479166 scopus 로고    scopus 로고
    • Hierarchical latent class models for cluster analysis
    • Zhang, N. L.: Hierarchical latent class models for cluster analysis. Journal of Machine Learning Research 5, 697-723 (2004).
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 697-723
    • Zhang, N.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.