메뉴 건너뛰기




Volumn 97, Issue 1-2, 2014, Pages 79-102

A theoretical and empirical analysis of support vector machine methods for multiple-instance classification

Author keywords

Kernel methods; Multiple instance learning; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); GEOMETRY; TOPOLOGY;

EID: 84906948628     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-013-5429-5     Document Type: Conference Paper
Times cited : (77)

References (35)
  • 5
    • 84857855190 scopus 로고    scopus 로고
    • Random search for hyper-parameter optimization
    • 1283.68282 2913701
    • Bergstra, J.; Bengio, Y. (2012). Random search for hyper-parameter optimization. Journal of Machine Learning Research, 13, 281-305.
    • (2012) Journal of Machine Learning Research , vol.13 , pp. 281-305
    • Bergstra, J.1    Bengio, Y.2
  • 7
    • 0031704194 scopus 로고    scopus 로고
    • A note on learning from multiple-instance examples
    • 10.1023/A:1007402410823 0894.68125
    • Blum, A.; Kalai, A. (1998). A note on learning from multiple-instance examples. Machine Learning Journal, 30, 23-29.
    • (1998) Machine Learning Journal , vol.30 , pp. 23-29
    • Blum, A.1    Kalai, A.2
  • 11
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • 1222.68184
    • Demšar, J. (2006). Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research, 7, 1-30.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demšar, J.1
  • 12
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • 10.1016/S0004-3702(96)00034-3 1042.68650
    • Dietterich, T. G.; Lathrop, R. H.; Lozano-Perez, T. (1997). Solving the multiple instance problem with axis-parallel rectangles. Artificial Intelligence, 89(1-2), 31-71.
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Perez, T.3
  • 13
    • 84866397303 scopus 로고    scopus 로고
    • On multiple-instance learning of halfspaces
    • 10.1016/j.ipl.2012.08.017 1248.68402 2968576
    • Diochnos, D.; Sloan, R.; Turán, G. (2012). On multiple-instance learning of halfspaces. Information Processing Letters, 112(23), 933-936.
    • (2012) Information Processing Letters , vol.112 , Issue.23 , pp. 933-936
    • Diochnos, D.1    Sloan, R.2    Turán, G.3
  • 18
    • 77949915914 scopus 로고    scopus 로고
    • Multiple instance learning via margin maximization
    • 10.1016/j.apnum.2009.05.013 1201.68093 2607795
    • Kundakcioglu, O.; Seref, O.; Pardalos, P. (2010). Multiple instance learning via margin maximization. Applied Numerical Mathematics, 60(4), 358-369.
    • (2010) Applied Numerical Mathematics , vol.60 , Issue.4 , pp. 358-369
    • Kundakcioglu, O.1    Seref, O.2    Pardalos, P.3
  • 19
    • 70349967917 scopus 로고    scopus 로고
    • A convex method for locating regions of interest with multi-instance learning
    • Springer Berlin 10.1007/978-3-642-04174-7-2
    • Li, Y.-F.; Kwok, J. T.; Tsang, I. W.; Zhou, Z.-H. (2009). A convex method for locating regions of interest with multi-instance learning. In Machine learning and knowledge discovery in databases (pp. 15-30). Berlin: Springer.
    • (2009) Machine Learning and Knowledge Discovery in Databases , pp. 15-30
    • Li, Y.-F.1    Kwok, J.T.2    Tsang, I.W.3    Zhou, Z.-H.4
  • 20
    • 43049183016 scopus 로고    scopus 로고
    • Multiple instance classification via successive linear programming
    • 10.1007/s10957-007-9343-5 1216.62098 2399698
    • Mangasarian, O.; Wild, E. (2008). Multiple instance classification via successive linear programming. Journal of Optimization Theory and Applications, 137, 555-568.
    • (2008) Journal of Optimization Theory and Applications , vol.137 , pp. 555-568
    • Mangasarian, O.1    Wild, E.2
  • 21
    • 0004082786 scopus 로고    scopus 로고
    • PhD thesis, Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA
    • Maron, O. (1998). Learning from ambiguity. PhD thesis, Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA.
    • (1998) Learning from Ambiguity
    • Maron, O.1
  • 25
    • 84869481832 scopus 로고    scopus 로고
    • Multi-instance learning with any hypothesis class
    • 06276206 2997719
    • Sabato, S.; Tishby, N. (2012). Multi-instance learning with any hypothesis class. Journal of Machine Learning Research, 13, 2999-3039.
    • (2012) Journal of Machine Learning Research , vol.13 , pp. 2999-3039
    • Sabato, S.1    Tishby, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.