{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T16:34:14Z","timestamp":1725554054975},"publisher-location":"Berlin, Heidelberg","reference-count":8,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540343790"},{"type":"electronic","value":"9783540343806"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11758501_74","type":"book-chapter","created":{"date-parts":[[2006,5,9]],"date-time":"2006-05-09T12:38:01Z","timestamp":1147178281000},"page":"547-554","source":"Crossref","is-referenced-by-count":1,"title":["Support Vector Machine Regression Algorithm Based on Chunking Incremental Learning"],"prefix":"10.1007","author":[{"given":"Jiang","family":"Jingqing","sequence":"first","affiliation":[]},{"given":"Song","family":"Chuyi","sequence":"additional","affiliation":[]},{"given":"Wu","family":"Chunguo","sequence":"additional","affiliation":[]},{"given":"Marchese","family":"Maurizio","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Yangchun","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"74_CR1","doi-asserted-by":"crossref","unstructured":"Osuna, E., Freund, R., Girosi, F.: An Improved Training Algorithm for Support Vector Machines. In: IEEE Workshop on Neural Networks and Signal Processing, Amelia Island, pp. 276\u2013285 (1997)","DOI":"10.1109\/NNSP.1997.622408"},{"key":"74_CR2","first-page":"169","volume-title":"Advances in Kernel Methods-Support Vector Learning","author":"T. Joachims","year":"1999","unstructured":"Joachims, T.: Making Large-scale Support Vector Machine Practical. In: Advances in Kernel Methods-Support Vector Learning, pp. 169\u2013184. The MIT Press, Cambridge (1999)"},{"key":"74_CR3","first-page":"185","volume-title":"Advances in Kernel Methods-Support Vector Learning","author":"J.C. Platt","year":"1999","unstructured":"Platt, J.C.: Fast Training of Support Vector Machines Using Sequential Minimal Optimization. In: Advances in Kernel Methods-Support Vector Learning, pp. 185\u2013208. The MIT Press, Cambridge (1999)"},{"key":"74_CR4","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"J.A.K. Suykens","year":"1999","unstructured":"Suykens, J.A.K., Vandewalle, J.: Least Squares Support Vector Machine Classifiers. Neural Processing Letters\u00a09, 293\u2013300 (1999)","journal-title":"Neural Processing Letters"},{"key":"74_CR5","doi-asserted-by":"crossref","unstructured":"Suykens, J.A.K., Lukas, L., Wandewalle, J.: Sparse Approximation Using Least Squares Support Vector Machines. In: Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS 2000), Geneva, Switzerland, pp. 757\u2013760 (2000)","DOI":"10.1109\/ISCAS.2000.856439"},{"key":"74_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1007\/978-3-540-28647-9_92","volume-title":"Advances in Neural Networks \u2013 ISNN 2004","author":"Z.F. Hao","year":"2004","unstructured":"Hao, Z.F., Yu, S., Yang, X.W., Hu, R., Zhao, F., Liang, Y.C.: Online LS-SVM Learning for Classification Problems Based on Incremental Chunk. In: Yin, F.-L., Wang, J., Guo, C. (eds.) ISNN 2004. LNCS, vol.\u00a03173, pp. 558\u2013564. Springer, Heidelberg (2004)"},{"key":"74_CR7","first-page":"426","volume-title":"Advances in Neural Information Processing Systems","author":"G. Cauwenberghs","year":"2001","unstructured":"Cauwenberghs, G., Poggio, T.: Incremental and Decremental Support Vector Machine Learning. In: Advances in Neural Information Processing Systems, vol.\u00a013, pp. 426\u2013433. MIT Press, Cambridge (2001)"},{"key":"74_CR8","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1023\/A:1012474916001","volume":"46","author":"G.W. Flake","year":"2002","unstructured":"Flake, G.W., Lawrence, S.: Efficient SVM Regression Training with SMO. Machine Learning\u00a046, 271\u2013290 (2002)","journal-title":"Machine Learning"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2006"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11758501_74","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,13]],"date-time":"2019-03-13T19:49:34Z","timestamp":1552506574000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11758501_74"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540343790","9783540343806"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/11758501_74","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}