5/20/12 1 Transfer of Learning References
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52012 1 Transfer of Learning References Bransford, John. How People Learn. Washington D.C.: National Academy Press, 1999. Ip, Y.K. Transfer of Learning. Ideas on Teaching. February 2003. Center for Development of Teaching and Learning.
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5/20/12 1 Transfer of Learning References Bransford, John. How People Learn. Washington D.C.: National Academy Press, 1999.
Ip, Y.K. “Transfer of Learning.” Ideas on Teaching. February 2003. Center for Development of Teaching and Learning. http://www.cdtl.nus.edu.sg/Ideas/iot18.htm
“Learning Theories and Transfer of Learning.” [Online] http://otec.uoregon.edu/learning_theory.htm#transfer
Mestre, Jose. “Transfer of Learning: Issues and Research Agenda.” [Online] National Science Foundation. 21 March 2002. http://www.nsf.gov/pubs/2003/nsf03212/nsf03212.pdf
Perkins, David. “Transfer of Learning.” [Online] 2 September 1992. http://learnweb.harvard.edu/alps/thinking/docs/traencyn.htm
“Transfer of Learning.” http://education.calumet.purdue.edu/vockell/EdPsyBook/Edpsy6/edpsy6_transfer.htm<br>
Ip, Y.K. “Transfer of Learning.” Ideas on Teaching. February 2003. Center for Development of Teaching and Learning. http://www.cdtl.nus.edu.sg/Ideas/iot18.htm
“Learning Theories and Transfer of Learning.” [Online] http://otec.uoregon.edu/learning_theory.htm#transfer
Mestre, Jose. “Transfer of Learning: Issues and Research Agenda.” [Online] National Science Foundation. 21 March 2002. http://www.nsf.gov/pubs/2003/nsf03212/nsf03212.pdf
Perkins, David. “Transfer of Learning.” [Online] 2 September 1992. http://learnweb.harvard.edu/alps/thinking/docs/traencyn.htm
“Transfer of Learning.” http://education.calumet.purdue.edu/vockell/EdPsyBook/Edpsy6/edpsy6_transfer.htm<br>
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A Partial List of References on Transfer Learning In SDM’12 Keynote Talk: Cross-Domain Transfer Learning
Qiang Yang, April 2012 2<br>
Qiang Yang, April 2012 2<br>
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Transfer Learning Surveys Sinno Jialin Pan and Qiang Yang. A survey on transfer learning. IEEE Transactions on Knowledge and Data Engineering, 22(10):1345–1359, October 2010.
Jing Jiang. A Literature Survey on Domain Adaptation of Statistical Classifiers.
Matthew E. Taylor and Peter Stone. Transfer Learning for Reinforcement Learning Domains: A Survey, JMLR V10(Jul):1633--1685, 2009. 3<br>
Jing Jiang. A Literature Survey on Domain Adaptation of Statistical Classifiers.
Matthew E. Taylor and Peter Stone. Transfer Learning for Reinforcement Learning Domains: A Survey, JMLR V10(Jul):1633--1685, 2009. 3<br>
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Reinforcement Learning Lisa Torrey, Jude Shavlik, S. Natarajan, P. Kuppili & T. Walker (2008). Knowledge Transfer in Reinforcement Learning via Markov Logic Networks. AAAI'08 Workshop on Transfer Learning for Complex Tasks.
Lisa Torrey and Jude Shavlik, Transfer Learning. 2009.
Lisa Torrey and Peter Stone. JMLR. (see prev. page) 4<br>
Lisa Torrey and Jude Shavlik, Transfer Learning. 2009.
Lisa Torrey and Peter Stone. JMLR. (see prev. page) 4<br>
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Transfer Learning via Ensemble Learning Jing Gao, Wei Fan, Jing Jiang, and Jiawei Han. Knowledge transfer via multiple model local structure mapping. In Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD ’08, pages 283–291, New York, NY, USA, 2008. ACM. 5<br>
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Lifelong Learning S. Thurn: Is Learning The n-th Thing Any Easier Than Learning The First? (NIPS 1996) 6<br>
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Multi-task Learning R. Caruana. Multitask learning. Machine Learning , 28(1):41–75, 1997.
Jing Jiang. Multi-task transfer learning for weakly-supervised relation extraction. In Proceedings of ACL ’09, pages 1012–1020, PA, USA, 2009. 7<br>
Jing Jiang. Multi-task transfer learning for weakly-supervised relation extraction. In Proceedings of ACL ’09, pages 1012–1020, PA, USA, 2009. 7<br>
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Instance Based Transfer Learning Wenyuan Dai, Qiang Yang, Gui-Rong Xue, and Yong Yu. Boosting for transfer learning. In Proceedings of the 24th international conference on Machine learning, ICML ’07, pages 193–200, New York, NY, USA, 2007. ACM.
Jing Jiang and ChengXiang Zhai. Instance weighting for domain adaptation in NLP. In ACL, 2007. 8<br>
Jing Jiang and ChengXiang Zhai. Instance weighting for domain adaptation in NLP. In ACL, 2007. 8<br>
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Domain Adaptation R. K. Ando and T. Zhang. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data. Journal of Machine learning Research , 6, 2005.
Hal Daum´e, III and Daniel Marcu. Domain adaptation for statistical classifiers. J. Artif. Int. Res., 26:101–126, May 2006.
Hal Daum´e III. Frustratingly easy domain adaptation. In ACL, 2007. 9<br>
Hal Daum´e, III and Daniel Marcu. Domain adaptation for statistical classifiers. J. Artif. Int. Res., 26:101–126, May 2006.
Hal Daum´e III. Frustratingly easy domain adaptation. In ACL, 2007. 9<br>
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Feature based Transfer Learning Wenyuan Dai, Gui-Rong Xue, Qiang Yang, and Yong Yu. Co-clustering based classification for out-of-domain documents. In Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD ’07, pages 210–219, New York, NY, USA, 2007. ACM.
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, and Andrew Y. Ng. Self-taught learning: transfer learning from unlabeled data. In Proceedings of the 24th international conference on Machine learning, ICML ’07, pages 759–766, New York, NY, USA, 2007. ACM.
Sinno Jialin Pan, James T. Kwok, and Qiang Yang. Transfer learning via dimensionality reduction. In AAAI, pages 677–682, 2008.
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.
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, and Qiang Yang. Domain adaptation via transfer component analysis. In IJCAI, pages 1187–1192, 2009.
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, and Qiang Yang. Domain adaptation via transfer component analysis. IEEE Transactions on Neural Networks, 22(2):199–210, 2011. 10<br>
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, and Andrew Y. Ng. Self-taught learning: transfer learning from unlabeled data. In Proceedings of the 24th international conference on Machine learning, ICML ’07, pages 759–766, New York, NY, USA, 2007. ACM.
Sinno Jialin Pan, James T. Kwok, and Qiang Yang. Transfer learning via dimensionality reduction. In AAAI, pages 677–682, 2008.
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.
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, and Qiang Yang. Domain adaptation via transfer component analysis. In IJCAI, pages 1187–1192, 2009.
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, and Qiang Yang. Domain adaptation via transfer component analysis. IEEE Transactions on Neural Networks, 22(2):199–210, 2011. 10<br>
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Analysis of Transfer Learning J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J.Wortman. Learning bounds for domain adaptation. Advances in Neural Information Processing Systems , 20:129–136, 2007.
Shai Ben-David, John Blitzer, Koby Crammer, Fernando Pereira, and Arthur Dubrawski. Analysis of representations for domain adaptation. In NIPS, 2006. 11<br>
Shai Ben-David, John Blitzer, Koby Crammer, Fernando Pereira, and Arthur Dubrawski. Analysis of representations for domain adaptation. In NIPS, 2006. 11<br>
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Model-parameter-based Transfer Learning Sinno Jialin Pan, Dou Shen, Qiang Yang and James T. Kwok. Transferring Localization Models Across Space. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI 08), Chicago, Illinois, USA. July 2008. 1383-1388 (PDF)
Vincent W. Zheng, Evan W. Xiang, Qiang Yang and Dou Shen. Transferring Localization Models Over Time. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI 08), Chicago, Illinois, USA. July 2008. 1421-1426 (PDF)
Jie Yin, Qiang Yang, Lionel M. Ni, Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation, IEEE Transactions on Mobile Computing, vol. 7, no. 7, pp. 869-883, Jul., 2008 (PDF) 12<br>
Vincent W. Zheng, Evan W. Xiang, Qiang Yang and Dou Shen. Transferring Localization Models Over Time. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI 08), Chicago, Illinois, USA. July 2008. 1421-1426 (PDF)
Jie Yin, Qiang Yang, Lionel M. Ni, Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation, IEEE Transactions on Mobile Computing, vol. 7, no. 7, pp. 869-883, Jul., 2008 (PDF) 12<br>
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Heterogeneous (feature-space) Transfer Learning (HTL) Qiang Yang, Yuqiang Chen, Gui-Rong Xue, Wenyuan Dai and Yong Yu. Heterogeneous Transfer Learning for Image Clustering via the Social Web. ACL'09,, Aug 2009, pages 1 -- 9. (PDF)
Yin Zhu, Y.Chen, Z.Lu, Guirong Xue, Yong Yu, Qiang Yang. Heterogeneous transfer learning for image classification. In: Proceedings of the Association of Advancement of Artificial Intelligence, AAAI 2011. San Francisco, USA. Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, and Yong Yu. Translated learning: Transfer learning across different feature spaces. In NIPS, 2008.
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, 2008.
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. 13<br>
Yin Zhu, Y.Chen, Z.Lu, Guirong Xue, Yong Yu, Qiang Yang. Heterogeneous transfer learning for image classification. In: Proceedings of the Association of Advancement of Artificial Intelligence, AAAI 2011. San Francisco, USA. Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, and Yong Yu. Translated learning: Transfer learning across different feature spaces. In NIPS, 2008.
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, 2008.
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. 13<br>
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Transfer Learning in Collaborative Filtering Bin Li, Qiang Yang, Xiangyang Xue. Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI '09), Pasadena, CA, USA, July 11-17, 2009.
B. Cao, N. N. Liu, and Q. Yang. Transfer learning for collective link-prediction in multiple heterogeneous domains. In Proceedings of the 27th International Conference on Machine Learning, ICML’10, 159–166, Haifa, Israel, 2010. Weike Pan, Evan W. Xiang and Qiang Yang. Transfer Learning in Collaborative Filtering with Uncertain Ratings. [pdf] In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI-12). Toronto, Ontario, Canada. July 22-26, 2012.
Weike Pan, Nathan N. Liu, Evan W. Xiang and Qiang Yang. Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks. [pdf] In Proceedings of the 22rd International Joint Conference on Artificial Intelligence (IJCAI-11). Barcelona, Catalonia, Spain, July 16-22, 2011.
Weike Pan, Evan W. Xiang, Nathan N. Liu and Qiang Yang. Transfer Learning in Collaborative Filtering for Sparsity Reduction. [pdf] In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10). Atlanta, Georgia, USA. July 11-15, 2010. 14<br>
B. Cao, N. N. Liu, and Q. Yang. Transfer learning for collective link-prediction in multiple heterogeneous domains. In Proceedings of the 27th International Conference on Machine Learning, ICML’10, 159–166, Haifa, Israel, 2010. Weike Pan, Evan W. Xiang and Qiang Yang. Transfer Learning in Collaborative Filtering with Uncertain Ratings. [pdf] In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI-12). Toronto, Ontario, Canada. July 22-26, 2012.
Weike Pan, Nathan N. Liu, Evan W. Xiang and Qiang Yang. Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks. [pdf] In Proceedings of the 22rd International Joint Conference on Artificial Intelligence (IJCAI-11). Barcelona, Catalonia, Spain, July 16-22, 2011.
Weike Pan, Evan W. Xiang, Nathan N. Liu and Qiang Yang. Transfer Learning in Collaborative Filtering for Sparsity Reduction. [pdf] In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10). Atlanta, Georgia, USA. July 11-15, 2010. 14<br>
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Structural Transfer Learning Huayan Wang and Qiang Yang: Transfer Learning by Structural Analogy, The Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011) [PDF]
E. Bareinboim, J. Pearl, “Transportability of Causal Effects: Completeness Results,” Twenty-Sixth Conference on Artificial Intelligence (AAAI), 2012, Toronto, Canada.
E. Bareinboim, J. Pearl, “Controlling Selection Bias in Causal Inference,” Fifteenth International Conference on Artificial Intelligence and Statistics (AIStats), 2012, La Palma, Canary Islands.
J. Pearl, E. Bareinboim, “Transportability of Causal and Statistical relations: A formal approach,” Twenty-Fifth Conference on Artificial Intelligence (AAAI), 2011, San Francisco, CA
AI Magazine: http://www.informatik.uni-trier.de/~ley/db/journals/aim/aim32.html 15<br>
E. Bareinboim, J. Pearl, “Transportability of Causal Effects: Completeness Results,” Twenty-Sixth Conference on Artificial Intelligence (AAAI), 2012, Toronto, Canada.
E. Bareinboim, J. Pearl, “Controlling Selection Bias in Causal Inference,” Fifteenth International Conference on Artificial Intelligence and Statistics (AIStats), 2012, La Palma, Canary Islands.
J. Pearl, E. Bareinboim, “Transportability of Causal and Statistical relations: A formal approach,” Twenty-Fifth Conference on Artificial Intelligence (AAAI), 2011, San Francisco, CA
AI Magazine: http://www.informatik.uni-trier.de/~ley/db/journals/aim/aim32.html 15<br>
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Adaptive Transfer Learning and Negative Transfer http://en.wikipedia.org/wiki/Negative_Transfer
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung and Qiang Yang. Adaptive Transfer Learning. In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10). Atlanta, Georgia, USA. July 11-15, 2010.
Michael T. Rosenstein, Zvika Marx, Leslie Pack Kaelbling and Thomas G. Dietterich. To Transfer or Not To Transfer. In: Inductive Transfer : 10 Years Later: NIPS 2005 Workshop 16<br>
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung and Qiang Yang. Adaptive Transfer Learning. In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10). Atlanta, Georgia, USA. July 11-15, 2010.
Michael T. Rosenstein, Zvika Marx, Leslie Pack Kaelbling and Thomas G. Dietterich. To Transfer or Not To Transfer. In: Inductive Transfer : 10 Years Later: NIPS 2005 Workshop 16<br>
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Source-free Transfer Learning Evan Wei Xiang, Sinno Jialin Pan, Weik Pan, Qiang Yang, and Jian Su. Source-Selection free transfer learning. In International Joint Conference on Artificial Intelligence, IJCAI’11, Barcelona, Spain, 2011. 17<br>
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Applications of Transfer Learning Vincent Wenchen Zheng, Derek Hao Hu, and Qiang Yang. Cross-domain activity recognition. In Proceedings of the 11th international conference on Ubiquitous computing, Ubicomp ’09, pages 61–70, New York, NY, USA, 2009. ACM. 18<br>