메뉴 건너뛰기




Volumn 76, Issue 2-3, 2009, Pages 211-225

Combining instance-based learning and logistic regression for multilabel classification

Author keywords

Bayesian inference; Instance based learning; Logistic regression; Multilabel classification; Nearest neighbor classification

Indexed keywords

BAYESIAN INFERENCE; INSTANCE-BASED LEARNING; LOGISTIC REGRESSION; MULTILABEL CLASSIFICATION; NEAREST NEIGHBOR CLASSIFICATION;

EID: 68949141664     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-009-5127-5     Document Type: Conference Paper
Times cited : (392)

References (24)
  • 1
    • 0025725905 scopus 로고
    • Instance-based learning algorithms
    • D. Aha D. Kibler M. Alber 1991 Instance-based learning algorithms Machine Learning 6 1 37 66
    • (1991) Machine Learning , vol.6 , Issue.1 , pp. 37-66
    • Aha, D.1    Kibler, D.2    Alber, M.3
  • 3
    • 84943242305 scopus 로고    scopus 로고
    • Knowledge discovery in multilabel phenotype Data
    • L. D. Raedt A. Siebes (eds) Springer Berlin
    • Clare, A., & King, R. D. (2001). Knowledge discovery in multilabel phenotype data. In L. D. Raedt & A. Siebes (Eds.), Lecture notes in computer science (Vol. 2168, pp. 42-53). Berlin: Springer.
    • (2001) Lecture notes in computer science , vol.2168 , pp. 42-53
    • Clare, A.1    King, R.D.2
  • 4
    • 8344282787 scopus 로고    scopus 로고
    • Learning multilabel alternating decision tree from texts and data
    • P. Perner A. Rosenfeld (eds), Springer Berlin
    • Comite, F. D., Gilleron, R., & Tommasi, M. (2003). Learning multilabel alternating decision tree from texts and data. In P. Perner & A. Rosenfeld (Eds.), Lecture notes in computer science (Vol. 2734, pp. 35-49). Berlin: Springer.
    • (2003) Lecture Notes in Computer Science , vol.2734 , pp. 35-49
    • Comite, F.D.1    Gilleron, R.2    Tommasi, M.3
  • 5
    • 68949108545 scopus 로고
    • B. V. Dasarathy (eds). IEEE Comput. Soc. Los Alamitos
    • Dasarathy, B. V., editor (1991). Nearest neighbor (NN) norms: NN pattern classification techniques. Los Alamitos: IEEE Comput. Soc.
    • (1991)
  • 6
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demsar 2006 Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 1 30 (Pubitemid 43022939)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1
  • 7
    • 76649137444 scopus 로고    scopus 로고
    • A kernel method for multilabelled classification
    • T. G. Dietterich S. Becker Z. Ghahramani (eds), MIT Press Cambridge
    • Elisseeff, A., & Weston, J. (2002). A kernel method for multilabelled classification. In T. G. Dietterich, S. Becker, & Z. Ghahramani (Eds.), Advances in neural information processing systems (Vol. 14, pp. 681-687). Cambridge: MIT Press.
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 681-687
    • Elisseeff, A.1    Weston, J.2
  • 8
    • 68949112385 scopus 로고    scopus 로고
    • L. Getoor B. Taskar (eds). MIT Press Cambridge
    • Getoor, L., & Taskar, B., editors (2007). Introduction to statistical relational learning. Cambridge: MIT Press.
    • (2007)
  • 9
    • 33745767102 scopus 로고    scopus 로고
    • Collective multilabel classification
    • Bremen, Germany
    • Ghamrawi, N., & McCallum, A. (2005). Collective multilabel classification. In Proc. CIKM-05, Bremen, Germany.
    • (2005) Proc. CIKM-05
    • Ghamrawi, N.1    McCallum, A.2
  • 10
    • 7444230008 scopus 로고    scopus 로고
    • Discriminative methods for multilabeled classification
    • Springer Berlin
    • Godbole, S., & Sarawagi, S. (2004). Discriminative methods for multilabeled classification. In LNCS: Vol. 3056. Advances in knowledge discovery and data mining (pp. 20-33). Berlin: Springer.
    • (2004) LNCS , vol.3056 , pp. 20-33
    • Godbole, S.1    Sarawagi, S.2
  • 11
    • 84899033524 scopus 로고    scopus 로고
    • Maximal margin labeling for multi-topic text categorization
    • L. K. Saul Y. Weiss L. Bottou (eds), MIT Press Cambridge
    • Kazawa, H., Izumitani, T., Taira, H., & Maeda, E. (2005). Maximal margin labeling for multi-topic text categorization. In L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in neural inf. proc. syst. (Vol. 17). Cambridge: MIT Press.
    • (2005) Advances in Neural Inf. Proc. Syst. , vol.17
    • Kazawa, H.1    Izumitani, T.2    Taira, H.3    Maeda, E.4
  • 12
    • 1942484863 scopus 로고    scopus 로고
    • Link-based classification
    • Washington
    • Lu, Q., & Getoor, L. (2003). Link-based classification. In Proc. ICML-03 (pp. 496-503) Washington.
    • (2003) Proc. ICML-03 , pp. 496-503
    • Lu, Q.1    Getoor, L.2
  • 13
    • 0002288190 scopus 로고    scopus 로고
    • Multiple-instance learning for natural scene classification
    • Madison, WI
    • Maron, O., & Ratan, A. L. (1998). Multiple-instance learning for natural scene classification. In Proc. ICML (pp. 341-349), Madison, WI.
    • (1998) Proc. ICML , pp. 341-349
    • Maron, O.1    Ratan, A.L.2
  • 14
    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based system for text categorization
    • R. E. Schapire Y. Singer 2000 Boostexter: a boosting-based system for text categorization Machine Learning 39 2 135 168
    • (2000) Machine Learning , vol.39 , Issue.2 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 15
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • F. Sebastiani 2002 Machine learning in automated text categorization ACM Computing Surveys 34 1 1 47
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 16
    • 34547172608 scopus 로고    scopus 로고
    • The challenge problem for automated detection of 101 semantic concepts in multimedia
    • Santa Barbara, USA
    • Snoek, C. G. M., Worring, M., van Gemert, J. C., Geusebroek, J. M., & Smeulders, A. W. M. (2006). The challenge problem for automated detection of 101 semantic concepts in multimedia. In Proc. ACM multimedia (pp. 421-430), Santa Barbara, USA.
    • (2006) Proc. ACM Multimedia , pp. 421-430
    • Snoek, C.G.M.1    Worring, M.2    Van Gemert, J.C.3    Geusebroek, J.M.4    Smeulders, A.W.M.5
  • 19
    • 84898954552 scopus 로고    scopus 로고
    • Parametric mixture models for multilabel text
    • S. Becker S. Thrun (eds) MIT Press Cambridge
    • Ueda, N., & Saito, K. (2003). Parametric mixture models for multilabel text. In S. Becker & S. Thrun (Eds.), Advances in neural information processing (Vol. 15, pp. 721-728). Cambridge: MIT Press.
    • (2003) Advances in Neural Information Processing , vol.15 , pp. 721-728
    • Ueda, N.1    Saito, K.2
  • 21
    • 68949137285 scopus 로고    scopus 로고
    • 2 Morgan Kaufmann San Francisco
    • Witten, I., & Frank, E. (2005). Data mining: practical machine learning tools and techniques (2nd ed.). San Francisco: Morgan Kaufmann.
    • (2005)
    • Witten, I.1    Frank, E.2
  • 22
    • 33748366796 scopus 로고    scopus 로고
    • Multi-label neural networks with applications to functional genomics and text categorization
    • Zhang, M.-L., & Zhou, Z.-H. (2006). Multi-label neural networks with applications to functional genomics and text categorization. In IEEE transactions on knowledge and data engineering (Vol. 18, pp. 1338-1351).
    • (2006) IEEE Transactions on Knowledge and Data Engineering , vol.18 , pp. 1338-1351
    • Zhang, M.-L.1    Zhou, Z.-H.2
  • 23
    • 33947681316 scopus 로고    scopus 로고
    • ML-kNN: A lazy learning approach to multilabel learning
    • M.-L. Zhang Z.-H. Zhou 2007 ML-kNN: A lazy learning approach to multilabel learning Pattern Recognition 40 7 2038 2048
    • (2007) Pattern Recognition , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, M.-L.1    Zhou, Z.-H.2
  • 24
    • 84864028262 scopus 로고    scopus 로고
    • Multi-instance multilabel learning with application to scene classification
    • B. Schölkopf J. Platt T. Hofmann (eds) MIT Press Cambridge
    • Zhou, Z.-H., & Zhang, M.-L. (2007). Multi-instance multilabel learning with application to scene classification. In B. Schölkopf, J. Platt, & T. Hofmann (Eds.), Advances in neural inf. proc. syst. (Vol. 19, pp. 1609-1616). Cambridge: MIT Press.
    • (2007) Advances in Neural Inf. Proc. Syst. , vol.19 , pp. 1609-1616
    • Zhou, Z.-H.1    Zhang, M.-L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.