{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:28:46Z","timestamp":1743082126844,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319687582"},{"type":"electronic","value":"9783319687599"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68759-9_45","type":"book-chapter","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T22:33:42Z","timestamp":1507847622000},"page":"556-568","source":"Crossref","is-referenced-by-count":12,"title":["Transductive Transfer Learning in Genetic Programming for Document Classification"],"prefix":"10.1007","author":[{"given":"Wenlong","family":"Fu","sequence":"first","affiliation":[]},{"given":"Bing","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Mengjie","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiaoying","family":"Gao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,14]]},"reference":[{"key":"45_CR1","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1007\/978-81-322-1602-5_75","volume-title":"Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012","author":"B Agarwal","year":"2014","unstructured":"Agarwal, B., Mittal, N.: Text classification using machine learning methods-a survey. In: Babu, B.V., Nagar, A., Deep, K., Pant, M., Bansal, J.C., Ray, K., Gupta, U. (eds.) Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. AISC, vol. 236, pp. 701\u2013709. Springer, New Delhi (2014). doi: 10.1007\/978-81-322-1602-5_75"},{"key":"45_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/978-3-319-16501-1_13","volume-title":"Genetic Programming","author":"U Bhowan","year":"2015","unstructured":"Bhowan, U., McCloskey, D.J.: Genetic programming for feature selection and question-answer ranking in IBM watson. In: Machado, P., Heywood, M.I., McDermott, J., Castelli, M., Garc\u00eda-S\u00e1nchez, P., Burelli, P., Risi, S., Sim, K. (eds.) EuroGP 2015. LNCS, vol. 9025, pp. 153\u2013166. Springer, Cham (2015). doi: 10.1007\/978-3-319-16501-1_13"},{"key":"45_CR3","unstructured":"Cavnar, W.B., Trenkle, J.M.: N-gram-based text categorization. In: Proceedings of 3rd Annual Symposium on Document Analysis and Information Retrieval, SDAIR-1994, pp. 161\u2013175 (1994)"},{"key":"45_CR4","doi-asserted-by":"crossref","unstructured":"Chen, Q., Xue, B., Niu, B., Zhang, M.: Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection. In: 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 3793\u20133800 (2016)","DOI":"10.1109\/CEC.2016.7744270"},{"issue":"99","key":"45_CR5","first-page":"1","volume":"PP","author":"Q Chen","year":"2017","unstructured":"Chen, Q., Zhang, M., Xue, B.: Feature selection to improve generalisation of genetic programming for high-dimensional symbolic regression. IEEE Trans. Evol. Comput. PP(99), 1 (2017)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"45_CR6","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.knosys.2015.03.025","volume":"83","author":"HJ Escalante","year":"2015","unstructured":"Escalante, H.J., Garc\u00eda-Lim\u00f3n, M.A., Morales-Reyes, A., Graff, M., Montes-y-G\u00f3mez, M., Morales, E.F., Mart\u00ednez-Carranza, J.: Term-weighting learning via genetic programming for text classification. Knowl.-Based Syst. 83, 176\u2013189 (2015)","journal-title":"Knowl.-Based Syst."},{"issue":"8","key":"45_CR7","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1109\/TCYB.2013.2286611","volume":"44","author":"W Fu","year":"2014","unstructured":"Fu, W., Johnston, M., Zhang, M.: Low-level feature extraction for edge detection using genetic programming. IEEE Trans. Cybern. 44(8), 1459\u20131472 (2014)","journal-title":"IEEE Trans. Cybern."},{"issue":"8","key":"45_CR8","doi-asserted-by":"crossref","first-page":"2371","DOI":"10.1007\/s00500-014-1432-4","volume":"19","author":"W Fu","year":"2015","unstructured":"Fu, W., Johnston, M., Zhang, M.: Distribution-based invariant feature construction using genetic programming for edge detection. Soft Comput. 19(8), 2371\u20132389 (2015)","journal-title":"Soft Comput."},{"issue":"1","key":"45_CR9","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s11263-014-0718-4","volume":"109","author":"B Gong","year":"2014","unstructured":"Gong, B., Grauman, K., Sha, F.: Learning kernels for unsupervised domain adaptation with applications to visual object recognition. Int. J. Comput. Vis. 109(1), 3\u201327 (2014)","journal-title":"Int. J. Comput. Vis."},{"key":"45_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/978-3-540-31989-4_8","volume-title":"Genetic Programming","author":"L Hirsch","year":"2005","unstructured":"Hirsch, L., Saeedi, M., Hirsch, R.: Evolving rules for document classification. In: Keijzer, M., Tettamanzi, A., Collet, P., van Hemert, J., Tomassini, M. (eds.) EuroGP 2005. LNCS, vol. 3447, pp. 85\u201395. Springer, Heidelberg (2005). doi: 10.1007\/978-3-540-31989-4_8"},{"issue":"7","key":"45_CR11","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1080\/08839510590967307","volume":"19","author":"L Hirsch","year":"2005","unstructured":"Hirsch, L., Saeedi, M., Hirsch, R.: Evolving text classification rules with genetic programming. Appl. Artif. Intell. 19(7), 659\u2013676 (2005)","journal-title":"Appl. Artif. Intell."},{"issue":"2","key":"45_CR12","first-page":"65","volume":"6","author":"S Holm","year":"1979","unstructured":"Holm, S.: A simple sequentially rejective multiple test procedure. Scand. J. Stat. 6(2), 65\u201370 (1979)","journal-title":"Scand. J. Stat."},{"key":"45_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/BFb0026683","volume-title":"Machine Learning: ECML-98","author":"T Joachims","year":"1998","unstructured":"Joachims, T.: Text categorization with support vector machines: learning with many relevant features. In: N\u00e9dellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398, pp. 137\u2013142. Springer, Heidelberg (1998). doi: 10.1007\/BFb0026683"},{"key":"45_CR14","doi-asserted-by":"crossref","unstructured":"Khan, A., Baharudin, B., Lee, L.H., Khan, K., Tronoh, U.T.P.: A review of machine learning algorithms for text-documents classification. J. Adv. Inf. Technol. (2010)","DOI":"10.4304\/jait.1.1.4-20"},{"issue":"2","key":"45_CR15","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.ipm.2015.09.001","volume":"52","author":"I Khodadi","year":"2016","unstructured":"Khodadi, I., Abadeh, M.S.: Genetic programming-based feature learning for question answering. Inf. Process. Manage. 52(2), 340\u2013357 (2016)","journal-title":"Inf. Process. Manage."},{"key":"45_CR16","doi-asserted-by":"crossref","unstructured":"Lang, K.: Newsweeder: learning to filter netnews. In: Proceedings of the 12th International Machine Learning Conference (ML95) (1995)","DOI":"10.1016\/B978-1-55860-377-6.50048-7"},{"issue":"2","key":"45_CR17","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1109\/TNN.2010.2091281","volume":"22","author":"SJ Pan","year":"2011","unstructured":"Pan, S.J., Tsang, I.W., Kwok, J.T., Yang, Q.: Domain adaptation via transfer component analysis. IEEE Trans. Neural Netw. 22(2), 199\u2013210 (2011)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"10","key":"45_CR18","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"45_CR19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/505282.505283","volume":"34","author":"F Sebastiani","year":"2002","unstructured":"Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. 34(1), 1\u201347 (2002)","journal-title":"ACM Comput. Surv."},{"issue":"1","key":"45_CR20","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/s40537-016-0043-6","volume":"3","author":"K Weiss","year":"2016","unstructured":"Weiss, K., Khoshgoftaar, T.M., Wang, D.: A survey of transfer learning. J. Big Data 3(1), 9 (2016)","journal-title":"J. Big Data"},{"key":"45_CR21","unstructured":"Yang, Y., Pedersen, J.O.: A comparative study on feature selection in text categorization. In: Proceedings of the Fourteenth International Conference on Machine Learning, pp. 412\u2013420 (1997)"},{"key":"45_CR22","series-title":"Studies in Fuzziness and Soft Computing","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/3-540-31590-X_4","volume-title":"Soft Computing in Web Information Retrieval","author":"B Zhang","year":"2006","unstructured":"Zhang, B., Fan, W., Chen, Y., Fox, E.A., Gon\u00e7alves, M.A., Cristo, M., Calado, P.: A genetic programming approach for combining structural and citation-based evidence for text classification in web digital libraries. In: Herrera-Viedma, E., Pasi, G., Crestani, F. (eds.) Soft Computing in Web Information Retrieval. Studies in Fuzziness and Soft Computing, vol. 197, pp. 65\u201383. Springer, Heidelberg (2006). doi: 10.1007\/3-540-31590-X_4"}],"container-title":["Lecture Notes in Computer Science","Simulated Evolution and Learning"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68759-9_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T12:18:46Z","timestamp":1570191526000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-68759-9_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319687582","9783319687599"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68759-9_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}