메뉴 건너뛰기




Volumn 30, Issue 9, 2008, Pages 1557-1571

Query by Transduction

Author keywords

Active learning; Hypothesis testing; Kolmogorov complexity; Support vector machine; Transductive inference

Indexed keywords

BACTERIOPHAGES; CLASSIFICATION (OF INFORMATION); EDUCATION; LEARNING SYSTEMS; STATISTICAL TESTS;

EID: 48049087667     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.70811     Document Type: Article
Times cited : (58)

References (61)
  • 2
    • 0001938951 scopus 로고    scopus 로고
    • Transductive Inference for Text Classification Using Support Vector Machines
    • I. Bratko and S. Dzeroski, eds, pp
    • T. Joachims, "Transductive Inference for Text Classification Using Support Vector Machines," Proc. 16th Int'l Conf. Machine Learning I. Bratko and S. Dzeroski, eds., pp. 200-209, 1999.
    • (1999) Proc. 16th Int'l Conf. Machine Learning , pp. 200-209
    • Joachims, T.1
  • 5
    • 33751038265 scopus 로고    scopus 로고
    • Protein Classification Using Transductive Learning on Phylogenetic Profiles
    • R. Craig and L. Liao, "Protein Classification Using Transductive Learning on Phylogenetic Profiles," Proc. ACM Symp. Applied Computing, pp. 161-166, 2006.
    • (2006) Proc. ACM Symp. Applied Computing , pp. 161-166
    • Craig, R.1    Liao, L.2
  • 6
    • 0042868698 scopus 로고    scopus 로고
    • Support Vector Machine Active Learning with Applications to Text Classification
    • S. Tong and D. Koller, "Support Vector Machine Active Learning with Applications to Text Classification," J. Machine Learning Research vol. 2, pp. 45-66, 2001.
    • (2001) J. Machine Learning Research , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 9
    • 0037174204 scopus 로고    scopus 로고
    • Prediction Algorithms and Confidence Measures Based on Algorithmic Randomness Theory
    • A. Gammerman and V. Vovk, "Prediction Algorithms and Confidence Measures Based on Algorithmic Randomness Theory," Theoretical Computer Science, vol. 287, no. 1, pp. 209-217, 2002.
    • (2002) Theoretical Computer Science , vol.287 , Issue.1 , pp. 209-217
    • Gammerman, A.1    Vovk, V.2
  • 11
    • 0031209604 scopus 로고    scopus 로고
    • Selective Sampling Using the Query by Committee Algorithm
    • Y. Freund, H.S. Seung, E. Shamir, and N. Tishby, "Selective Sampling Using the Query by Committee Algorithm," Machine Learning, vol. 28, nos. 2-3, pp. 133-168, 1997.
    • (1997) Machine Learning , vol.28 , Issue.2-3 , pp. 133-168
    • Freund, Y.1    Seung, H.S.2    Shamir, E.3    Tishby, N.4
  • 13
    • 0005004572 scopus 로고    scopus 로고
    • A Probability Analysis on the Value of Unlabeled Data for Classification Problems
    • T. Zhang and F. Oles, "A Probability Analysis on the Value of Unlabeled Data for Classification Problems," Proc. 17th Int'l Conf. Machine Learning, pp. 1191-1198, 2000.
    • (2000) Proc. 17th Int'l Conf. Machine Learning , pp. 1191-1198
    • Zhang, T.1    Oles, F.2
  • 16
    • 0000695404 scopus 로고
    • Information-Based Objective Functions for Active Data Selection
    • D. Mackay, "Information-Based Objective Functions for Active Data Selection," Neural Computation, vol. 4, no. 4, pp. 590-604, 1992.
    • (1992) Neural Computation , vol.4 , Issue.4 , pp. 590-604
    • Mackay, D.1
  • 17
    • 0036613407 scopus 로고    scopus 로고
    • An Active Learning Framework for Content-Based Information Retrieval
    • C. Zhang and T. Chen, "An Active Learning Framework for Content-Based Information Retrieval," IEEE Trans. Multimedia, vol. 4, no. 2, pp. 260-268, 2002.
    • (2002) IEEE Trans. Multimedia , vol.4 , Issue.2 , pp. 260-268
    • Zhang, C.1    Chen, T.2
  • 20
    • 0442319140 scopus 로고    scopus 로고
    • Toward Optimal Active Learning through Sampling Estimation of Error Reduction
    • N. Roy and A. McCallum, "Toward Optimal Active Learning through Sampling Estimation of Error Reduction," Proc. 18th Int'l Conf. Machine Learning, pp. 441-448, 2001.
    • (2001) Proc. 18th Int'l Conf. Machine Learning , pp. 441-448
    • Roy, N.1    McCallum, A.2
  • 22
    • 0007696417 scopus 로고    scopus 로고
    • Less Is More: Active Learning with Support Vector Machines
    • G. Schohn and D. Cohn, "Less Is More: Active Learning with Support Vector Machines," Proc. 17th Int'l Conf. Machine Learning, pp. 839-846, 2000.
    • (2000) Proc. 17th Int'l Conf. Machine Learning , pp. 839-846
    • Schohn, G.1    Cohn, D.2
  • 24
    • 48049124665 scopus 로고    scopus 로고
    • Active Learning with Kernel Machines,
    • PhD dissertation, Univ. of Paderborn
    • K. Brinker, "Active Learning with Kernel Machines," PhD dissertation, Univ. of Paderborn, 2004.
    • (2004)
    • Brinker, K.1
  • 27
    • 85152628923 scopus 로고
    • Committee-Based Sampling for Training Probabilistic Classifiers
    • I. Dagan and S. Engelson, "Committee-Based Sampling for Training Probabilistic Classifiers," Proc. 12th Int'l Conf. Machine Learning pp. 150-157, 1995.
    • (1995) Proc. 12th Int'l Conf. Machine Learning , pp. 150-157
    • Dagan, I.1    Engelson, S.2
  • 32
    • 0002332781 scopus 로고    scopus 로고
    • Employing EM and Pool-Based Active Learning for Text Classification
    • A. McCallum and K. Nigam, "Employing EM and Pool-Based Active Learning for Text Classification," Proc. 15th Int'l Conf, Machine Learning pp. 359-367, 1998.
    • (1998) Proc. 15th Int'l Conf, Machine Learning , pp. 359-367
    • McCallum, A.1    Nigam, K.2
  • 36
    • 0034792634 scopus 로고    scopus 로고
    • Support Vector Machine Active Learning for Image Retrieval
    • S. Tong and E.Y. Chang, "Support Vector Machine Active Learning for Image Retrieval," Proc. ACM Multimedia, pp. 107-118, 2001.
    • (2001) Proc. ACM Multimedia , pp. 107-118
    • Tong, S.1    Chang, E.Y.2
  • 39
    • 48049096929 scopus 로고    scopus 로고
    • Active Learning for Outdoor Obstacle Detection
    • C. Dima and M. Hebert, "Active Learning for Outdoor Obstacle Detection," Robotics: Science and Systems, pp. 9-16, 2005.
    • (2005) Robotics: Science and Systems , pp. 9-16
    • Dima, C.1    Hebert, M.2
  • 40
    • 11244340669 scopus 로고    scopus 로고
    • Multi-Class Active Learning for Video Semantic Feature Extraction
    • R. Yan and A. Hauptmann, "Multi-Class Active Learning for Video Semantic Feature Extraction," Proc. IEEE Int'l Conf. Multimedia and Expo, pp. 67-72, 2004.
    • (2004) Proc. IEEE Int'l Conf. Multimedia and Expo , pp. 67-72
    • Yan, R.1    Hauptmann, A.2
  • 41
    • 33749263388 scopus 로고    scopus 로고
    • Batch Mode Active Learning and Its Application to Medical Image Classification
    • S.C.H. Hoi, R. Jin, J. Zhu, and M.R. Lyu, "Batch Mode Active Learning and Its Application to Medical Image Classification," Proc. 23rd Int'l Conf. Machine Learning, pp. 417-424, 2006.
    • (2006) Proc. 23rd Int'l Conf. Machine Learning , pp. 417-424
    • Hoi, S.C.H.1    Jin, R.2    Zhu, J.3    Lyu, M.R.4
  • 44
    • 0742301742 scopus 로고    scopus 로고
    • Learning from Labeled and Unlabeled Data Using a Minimal Number of Queries
    • R. Kothari and V. Jain, "Learning from Labeled and Unlabeled Data Using a Minimal Number of Queries," IEEE Trans. Neural Networks, vol. 14, no. 6, 2003.
    • (2003) IEEE Trans. Neural Networks , vol.14 , Issue.6
    • Kothari, R.1    Jain, V.2
  • 46
    • 33749252873 scopus 로고    scopus 로고
    • O. Chapelle, B. Schölkopf, and A. Zien, eds. MIT Press
    • Semi-Supervised Learning. O. Chapelle, B. Schölkopf, and A. Zien, eds. MIT Press, 2006.
    • (2006) Semi-Supervised Learning
  • 49
    • 0002656659 scopus 로고    scopus 로고
    • Machine-Learning Applications of Algorithmic Randomness
    • I. Bratko and S. Dzeroski, eds, pp
    • V. Vovk, A Gammerman, and C. Saunders, "Machine-Learning Applications of Algorithmic Randomness," Proc. 16th Int'l Conf. Machine Learning I. Bratko and S. Dzeroski, eds., pp. 444-453, 1999.
    • (1999) Proc. 16th Int'l Conf. Machine Learning , pp. 444-453
    • Vovk, V.1    Gammerman, A.2    Saunders, C.3
  • 51
    • 52149120844 scopus 로고    scopus 로고
    • Transductive Confidence Machines for Pattern Recognition
    • T. Elomaa, H. Mannila, and H. Toivonen, eds, pp
    • K. Proedrou, I. Nouretdinov, V. Vovk, and A. Gammerman, "Transductive Confidence Machines for Pattern Recognition," Proc. 13th European Conf. Machine Learning, T. Elomaa, H. Mannila, and H. Toivonen, eds., pp. 381-390, 2002.
    • (2002) Proc. 13th European Conf. Machine Learning , pp. 381-390
    • Proedrou, K.1    Nouretdinov, I.2    Vovk, V.3    Gammerman, A.4
  • 56
    • 0035630521 scopus 로고    scopus 로고
    • Calibration of p-values for Testing Precise Null Hypotheses
    • T. Sellke, M.J. Bayarri, and J.O. Berger, "Calibration of p-values for Testing Precise Null Hypotheses," The Am. Statistician, vol. 55, pp. 62-71, 2001.
    • (2001) The Am. Statistician , vol.55 , pp. 62-71
    • Sellke, T.1    Bayarri, M.J.2    Berger, J.O.3
  • 60
  • 61
    • 0026120634 scopus 로고
    • Letter Recognition Using Holland-Style Adaptive Classifiers
    • P. Frey and D. Slate, "Letter Recognition Using Holland-Style Adaptive Classifiers," Machine Learning, vol. 6, pp. 161-182, 1991.
    • (1991) Machine Learning , vol.6 , pp. 161-182
    • Frey, P.1    Slate, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.