메뉴 건너뛰기




Volumn 9781461432234, Issue , 2012, Pages 223-257

Transfer learning for text mining

Author keywords

Classification; Clustering; Learning torank; Text mining; Transfer learning

Indexed keywords

DATA MINING; INFORMATION RETRIEVAL SYSTEMS; LEARNING SYSTEMS; MACHINE LEARNING;

EID: 84949178135     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-3223-4_7     Document Type: Chapter
Times cited : (49)

References (112)
  • 1
    • 27844439373 scopus 로고    scopus 로고
    • A framework for learning predictive structures from multiple tasks and unlabeled data
    • December
    • Rie Kubota Ando and Tong Zhang. A framework for learning predictive structures from multiple tasks and unlabeled data. J. Mach. Learn. Res., 6:1817-1853, December 2005.
    • (2005) J. Mach. Learn. Res. , vol.6 , pp. 1817-1853
    • Ando, R.K.1    Zhang, T.2
  • 5
    • 0002652285 scopus 로고    scopus 로고
    • A maximum entropy approach to natural language processing
    • March
    • Adam L. Berger, Vincent J. Della Pietra, and Stephen A. Della Pietra. A maximum entropy approach to natural language processing. Comput. Linguist., 22:39-71, March 1996.
    • (1996) Comput. Linguist. , vol.22 , pp. 39-71
    • Berger, A.L.1    Della Pietra, V.J.2    Della Pietra, S.A.3
  • 7
    • 48449092946 scopus 로고    scopus 로고
    • Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
    • Prague, Czech Republic
    • John Blitzer, Mark Dredze, and Fernando Pereira. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Association for Computational Linguistics, Prague, Czech Republic.
    • Association for Computational Linguistics
    • Blitzer, J.1    Dredze, M.2    Pereira, F.3
  • 11
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • August
    • Leo Breiman. Bagging predictors. Mach. Learn., 24:123-140, August 1996.
    • (1996) Mach. Learn. , vol.24 , pp. 123-140
    • Breiman, L.1
  • 12
    • 77949852900 scopus 로고    scopus 로고
    • Domain adaptation problems: A dasvm classification technique and a circular validation strategy
    • Lorenzo Bruzzone and Mattia Marconcini. Domain adaptation problems: A dasvm classification technique and a circular validation strategy. IEEE Trans. Pattern Anal. Mach. Intell., 32(5):770-787, 2010.
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , Issue.5 , pp. 770-787
    • Bruzzone, L.1    Marconcini, M.2
  • 14
    • 77951291046 scopus 로고    scopus 로고
    • A singular value thresholding algorithm for matrix completion
    • March
    • Jian-Feng Cai, Emmanuel J. Candès, and Zuowei Shen. A singular value thresholding algorithm for matrix completion. SIAM J. on Optimization, 20:1956-1982, March 2010.
    • (2010) SIAM J. on Optimization , vol.20 , pp. 1956-1982
    • Cai, J.-F.1    Candès, E.J.2    Shen, Z.3
  • 17
    • 85121045899 scopus 로고
    • Multitask learning: A knowledge-based source of inductive bias
    • Rich Caruana. Multitask learning: A knowledge-based source of inductive bias. In ICML, pages 41-48, 1993.
    • (1993) ICML , pp. 41-48
    • Caruana, R.1
  • 19
    • 77953625629 scopus 로고    scopus 로고
    • Knowledge transfer for cross domain learning to rank
    • June
    • Depin Chen, Yan Xiong, Jun. Yan, Gui-Rong Xue, Gang Wang, and Zheng Chen. Knowledge transfer for cross domain learning to rank. Inf. Retr., 13:236-253, June 2010.
    • (2010) Inf. Retr. , vol.13 , pp. 236-253
    • Chen, D.1    Xiong, Y.2    Yan, J.3    Xue, G.-R.4    Wang, G.5    Chen, Z.6
  • 20
    • 84863349934 scopus 로고    scopus 로고
    • Translated learning: Transfer learning across different feature spaces
    • Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, and Yong Yu. Translated learning: Transfer learning across different feature spaces. In NIPS, pages 353-360, 2008.
    • (2008) NIPS , pp. 353-360
    • Dai, W.1    Chen, Y.2    Xue, G.-R.3    Yang, Q.4    Yu, Y.5
  • 26
    • 76349117816 scopus 로고    scopus 로고
    • Transfer learning for text classification
    • Chuong B. Do and Andrew Y. Ng. Transfer learning for text classification. In NIPS, 2005.
    • (2005) NIPS
    • Do, C.B.1    Ng, A.Y.2
  • 31
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Yoav Freund and Robert E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci., 55(1):119-139, 1997.
    • (1997) J. Comput. Syst. Sci. , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 35
    • 0000125534 scopus 로고
    • Sample selection bias as a specification error
    • January
    • James J Heckman. Sample selection bias as a specification error. Econometrica, 47(1):153-61, January 1979.
    • (1979) Econometrica , vol.47 , Issue.1 , pp. 153-161
    • Heckman, J.J.1
  • 37
    • 84860513476 scopus 로고    scopus 로고
    • Frustratingly easy domain adaptation
    • Hal Daumé III. Frustratingly easy domain adaptation. In ACL, 2007.
    • (2007) ACL
    • Daumé, H.1
  • 39
    • 84860538689 scopus 로고    scopus 로고
    • Instance weighting for domain adaptation in nlp
    • Jing Jiang and Cheng Xiang Zhai. Instance weighting for domain adaptation in nlp. In ACL, 2007.
    • (2007) ACL
    • Jiang, J.1    Zhai, C.X.2
  • 40
    • 68349087851 scopus 로고    scopus 로고
    • Cross-domain learning methods for high-level visual concept classification
    • Wei Jiang, Eric Zavesky, Shih-Fu Chang, and Alexander C. Loui. Cross-domain learning methods for high-level visual concept classification. In ICIP, pages 161-164, 2008.
    • (2008) ICIP , pp. 161-164
    • Jiang, W.1    Zavesky, E.2    Chang, S.-F.3    Loui, A.C.4
  • 41
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • San Francisco, CA, USA, Morgan Kaufmann Publishers Inc
    • Thorsten Joachims. Transductive inference for text classification using support vector machines. In Proceedings of the Sixteenth International Conference on Machine Learning, ICML'99, pages 200-209, San Francisco, CA, USA, 1999. Morgan Kaufmann Publishers Inc.
    • (1999) Proceedings of the Sixteenth International Conference on Machine Learning, ICML'99 , pp. 200-209
    • Joachims, T.1
  • 47
  • 56
    • 57349129460 scopus 로고    scopus 로고
    • Can chinese web pages be classified with english data source?
    • Xiao Ling, Gui-Rong Xue, Wenyuan Dai, Yun Jiang, Qiang Yang, and Yong Yu. Can chinese web pages be classified with english data source? In WWW, pages 969-978, 2008.
    • (2008) WWW , pp. 969-978
    • Ling, X.1    Xue, G.-R.2    Dai, W.3    Jiang, Y.4    Yang, Q.5    Yu, Y.6
  • 57
    • 79951746174 scopus 로고    scopus 로고
    • Transfer learning via cluster correspondence inference
    • Mingsheng Long, Wei Cheng, Xiaoming Jin, Jianmin Wang, and Dou Shen. Transfer learning via cluster correspondence inference. In ICDM, pages 917-922, 2010.
    • (2010) ICDM , pp. 917-922
    • Long, M.1    Cheng, W.2    Jin, X.3    Wang, J.4    Shen, D.5
  • 58
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • December
    • Ulrike Luxburg. A tutorial on spectral clustering. Statistics and Computing, 17:395-416, December 2007.
    • (2007) Statistics and Computing , vol.17 , pp. 395-416
    • Luxburg, U.1
  • 59
    • 0242288917 scopus 로고    scopus 로고
    • Technical report, Computer Sciences Department, University of Wisconsin
    • Olvi L. Mangasarian. Generalized support vector machines. Technical report, Computer Sciences Department, University of Wisconsin, 1998.
    • (1998) Generalized Support Vector Machines
    • Mangasarian, O.L.1
  • 60
    • 85072959559 scopus 로고    scopus 로고
    • Domain adaptation with multiple sources
    • Yishay Mansour, Mehryar Mohri, and Afshin Rostamizadeh. Domain adaptation with multiple sources. In NIPS, 2008.
    • (2008) NIPS
    • Mansour, Y.1    Mohri, M.2    Rostamizadeh, A.3
  • 63
    • 57749201133 scopus 로고    scopus 로고
    • Transfer learning via dimensionality reduction
    • Sinno Jialin Pan, James T. Kwok, and Qiang Yang. Transfer learning via dimensionality reduction. In AAAI, pages 677-682, 2008.
    • (2008) AAAI , pp. 677-682
    • Pan, S.J.1    Kwok, J.T.2    Yang, Q.3
  • 64
    • 77954584149 scopus 로고    scopus 로고
    • Cross-domain sentiment classification via spectral feature alignment
    • Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qiang Yang, and Zheng Chen. Cross-domain sentiment classification via spectral feature alignment. In WWW, pages 751-760, 2010.
    • (2010) WWW , pp. 751-760
    • Pan, S.J.1    Ni, X.2    Sun, J.-T.3    Yang, Q.4    Chen, Z.5
  • 65
    • 78751696249 scopus 로고    scopus 로고
    • Domain adaptation via transfer component analysis
    • Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, and Qiang Yang. Domain adaptation via transfer component analysis. In IJCAI, pages 1187-1192, 2009.
    • (2009) IJCAI , pp. 1187-1192
    • Pan, S.J.1    Tsang, I.W.2    Kwok, J.T.3    Yang, Q.4
  • 68
    • 48449095896 scopus 로고    scopus 로고
    • Opinion mining and sentiment analysis
    • January
    • Bo Pang and Lillian Lee. Opinion mining and sentiment analysis. Found. Trends Inf. Retr., 2:1-135, January 2008.
    • (2008) Found. Trends Inf. Retr. , vol.2 , pp. 1-135
    • Pang, B.1    Lee, L.2
  • 69
    • 77956504090 scopus 로고    scopus 로고
    • Boosting for regression transfer
    • David Pardoe and Peter Stone. Boosting for regression transfer. In ICML, pages 863-870, 2010.
    • (2010) ICML , pp. 863-870
    • Pardoe, D.1    Stone, P.2
  • 70
    • 84859947224 scopus 로고    scopus 로고
    • Cross-language text classification using structural correspondence learning
    • Peter Prettenhofer and Benno Stein. Cross-language text classification using structural correspondence learning. In ACL, pages 1118-1127, 2010.
    • (2010) ACL , pp. 1118-1127
    • Prettenhofer, P.1    Stein, B.2
  • 71
    • 80155150190 scopus 로고    scopus 로고
    • Cross-lingual adaptation using structural correspondence learning
    • Peter Prettenhofer and Benno Stein. Cross-lingual adaptation using structural correspondence learning. ACM TIST, 3(1), 2012.
    • (2012) ACM TIST , vol.3 , Issue.1
    • Prettenhofer, P.1    Stein, B.2
  • 73
    • 80052901068 scopus 로고    scopus 로고
    • Towards cross-category knowledge propagation for learning visual concepts
    • Guo-Jun Qi, Charu Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, and Thomas Huang. Towards cross-category knowledge propagation for learning visual concepts. In CVPR, 2011.
    • (2011) CVPR
    • Qi, G.-J.1    Aggarwal, C.2    Rui, Y.3    Tian, Q.4    Chang, S.5    Huang, T.6
  • 78
    • 80052892795 scopus 로고    scopus 로고
    • Evaluating knowledge transfer and zero-shot learning in a large-scale setting
    • Marcus Rohrbach, Michael Stark, and Bernt Schiele. Evaluating knowledge transfer and zero-shot learning in a large-scale setting. In CVPR, 2011.
    • (2011) CVPR
    • Rohrbach, M.1    Stark, M.2    Schiele, B.3
  • 79
    • 77955989949 scopus 로고    scopus 로고
    • What helps where - and why? Semantic relatedness for knowledge transfer
    • Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, and Bernt Schiele. What helps where - and why? semantic relatedness for knowledge transfer. In CVPR, pages 910-917, 2010.
    • (2010) CVPR , pp. 910-917
    • Rohrbach, M.1    Stark, M.2    Szarvas, G.3    Gurevych, I.4    Schiele, B.5
  • 85
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • August
    • Jianbo Shi and Jitendra Malik. Normalized cuts and image segmentation. IEEE Trans. Pattern Anal. Mach. Intell., 22:888-905, August 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 86
    • 84880100711 scopus 로고    scopus 로고
    • Relaxed transfer of different classes via spectral partition
    • Xiaoxiao Shi, Wei Fan, Qiang Yang, and Jiangtao Ren. Relaxed transfer of different classes via spectral partition. In ECML/PKDD, 2009.
    • (2009) ECML/PKDD
    • Shi, X.1    Fan, W.2    Yang, Q.3    Ren, J.4
  • 87
    • 79951757047 scopus 로고    scopus 로고
    • Transfer learning on heterogenous feature spaces via spectral transformation
    • Xiaoxiao Shi, Qi Liu, Wei Fan, Philip S. Yu, and Ruixin Zhu. Transfer learning on heterogenous feature spaces via spectral transformation. In ICDM, pages 1049-1054, 2010.
    • (2010) ICDM , pp. 1049-1054
    • Shi, X.1    Liu, Q.2    Fan, W.3    Yu, P.S.4    Zhu, R.5
  • 88
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under covariate shift by weighting the log-likelihood function
    • Hidetoshi Shimodaira. Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference, 90(2):227-244, 2000.
    • (2000) Journal of Statistical Planning and Inference , vol.90 , Issue.2 , pp. 227-244
    • Shimodaira, H.1
  • 89
    • 77952894864 scopus 로고    scopus 로고
    • Bregman divergence-based regularization for transfer subspace learning
    • Si Si, Dacheng Tao, and Bo Geng. Bregman divergence-based regularization for transfer subspace learning. IEEE Trans. Knowl. Data Eng., 22(7):929-942, 2010.
    • (2010) IEEE Trans. Knowl. Data Eng. , vol.22 , Issue.7 , pp. 929-942
    • Si, S.1    Tao, D.2    Geng, B.3
  • 90
    • 65449121541 scopus 로고    scopus 로고
    • Relational learning via collective matrix factorization
    • Ajit P. Singh and Geoffrey J. Gordon. Relational learning via collective matrix factorization. In KDD, pages 650-658, 2008.
    • (2008) KDD , pp. 650-658
    • Singh, A.P.1    Gordon, G.J.2
  • 91
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • March
    • Simon Tong and Daphne Koller. Support vector machine active learning with applications to text classification. J. Mach. Learn. Res., 2:45-66, March 2002.
    • (2002) J. Mach. Learn. Res. , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 93
    • 77956439239 scopus 로고    scopus 로고
    • Indoor localization in multi-floor environments with reduced effort
    • Hua-Yan Wang, Vincent Wenchen Zheng, Junhui Zhao, and Qiang Yang. Indoor localization in multi-floor environments with reduced effort. In PerCom, pages 244-252, 2010.
    • (2010) PerCom , pp. 244-252
    • Wang, H.-Y.1    Zheng, V.W.2    Zhao, J.3    Yang, Q.4
  • 94
    • 85193170736 scopus 로고    scopus 로고
    • Stepinski. Subkilometer crater discovery with boosting and transfer learning
    • Yang Mu Lourenco Bandeira Ricardo Ricardo Youxi Wu Zhenyu Lu Tianyu Cao Xindong Wu Wei Ding, Tomasz F. Stepinski. Subkilometer crater discovery with boosting and transfer learning. ACM TIST, x (x), 201x.
    • ACM TIST , vol.10 , Issue.10 , pp. 201x
    • Mu, Y.1    Bandeira, L.2    Ricardo, R.3    Wu, Y.4    Lu, Z.5    Cao, T.6    Wu, X.7    Ding, W.8    Tomasz, F.9
  • 97
    • 77951767276 scopus 로고    scopus 로고
    • Bridging domains using world wide knowledge for transfer learning
    • Evan Wei Xiang, Bin Cao, Derek Hao Hu, and Qiang Yang. Bridging domains using world wide knowledge for transfer learning. IEEE Trans. Knowl. Data Eng., 22(6):770-783, 2010.
    • (2010) IEEE Trans. Knowl. Data Eng. , vol.22 , Issue.6 , pp. 770-783
    • Xiang, E.W.1    Cao, B.2    Hu, D.H.3    Yang, Q.4
  • 102
    • 77955998024 scopus 로고    scopus 로고
    • Boosting for transfer learning with multiple sources
    • Yi Yao and Gianfranco Doretto. Boosting for transfer learning with multiple sources. In CVPR, pages 1855-1862, 2010.
    • (2010) CVPR , pp. 1855-1862
    • Yao, Y.1    Doretto, G.2
  • 104
    • 0142259871 scopus 로고    scopus 로고
    • Kernel methods for relation extraction
    • March
    • Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. Kernel methods for relation extraction. J. Mach. Learn. Res., 3:1083-1106, March 2003.
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1083-1106
    • Zelenko, D.1    Aone, C.2    Richardella, A.3
  • 105
    • 80053252281 scopus 로고    scopus 로고
    • Cross-lingual latent topic extraction
    • Duo Zhang, Qiaozhu Mei, and Cheng Xiang Zhai. Cross-lingual latent topic extraction. In ACL, pages 1128-1137, 2010.
    • (2010) ACL , pp. 1128-1137
    • Zhang, D.1    Mei, Q.2    Zhai, C.X.3
  • 107
    • 84863390414 scopus 로고    scopus 로고
    • Learning the semantic correlation: An alternative way to gain from unlabeled text
    • Yi Zhang, Jeff Schneider, and Artur Dubrawski. Learning the semantic correlation: An alternative way to gain from unlabeled text. In NIPS, pages 1945-1952, 2008.
    • (2008) NIPS , pp. 1945-1952
    • Zhang, Y.1    Schneider, J.2    Dubrawski, A.3
  • 110
    • 77958032545 scopus 로고    scopus 로고
    • Cross validation framework to choose amongst models and datasets for transfer learning
    • Erheng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, and Jiangtao Ren. Cross validation framework to choose amongst models and datasets for transfer learning. In ECML/PKDD (3), pages 547-562, 2010.
    • (2010) ECML/PKDD , Issue.3 , pp. 547-562
    • Zhong, E.1    Fan, W.2    Yang, Q.3    Verscheure, O.4    Ren, J.5
  • 112
    • 85093314939 scopus 로고    scopus 로고
    • Heterogeneous transfer learning for image classification
    • Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu, and Qiang Yang. Heterogeneous transfer learning for image classification. In AAAI, 2011.
    • (2011) AAAI
    • Zhu, Y.1    Chen, Y.2    Lu, Z.3    Pan, S.J.4    Xue, G.-R.5    Yu, Y.6    Yang, Q.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.