{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T22:22:56Z","timestamp":1749594176954,"version":"3.41.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319238616"},{"type":"electronic","value":"9783319238623"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"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":[[2015]]},"DOI":"10.1007\/978-3-319-23862-3_37","type":"book-chapter","created":{"date-parts":[[2015,10,13]],"date-time":"2015-10-13T18:06:06Z","timestamp":1444759566000},"page":"373-383","source":"Crossref","is-referenced-by-count":1,"title":["Linear Feature Sensibility for Output Partitioning in Ordered Neural Incremental Attribute Learning"],"prefix":"10.1007","author":[{"given":"Ting","family":"Wang","sequence":"first","affiliation":[]},{"given":"Sheng-Uei","family":"Guan","sequence":"additional","affiliation":[]},{"given":"Jieming","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Fangzhou","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,10,17]]},"reference":[{"key":"37_CR1","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1109\/TSMCB.2004.842247","volume":"35","author":"SU Guan","year":"2005","unstructured":"Guan, S.U., Zhu, F.M.: An incremental approach to genetic-algorithms-based classification. IEEE Trans. Syst. Man Cybern. Part B Cybern. 35, 227\u2013239 (2005)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"key":"37_CR2","doi-asserted-by":"publisher","first-page":"1239","DOI":"10.1002\/int.20046","volume":"19","author":"F Zhu","year":"2004","unstructured":"Zhu, F., Guan, S.U.: Ordered incremental training with genetic algorithms. Int. J. Intell. Syst. 19, 1239\u20131256 (2004)","journal-title":"Int. J. Intell. Syst."},{"key":"37_CR3","first-page":"137","volume":"12","author":"SU Guan","year":"2002","unstructured":"Guan, S.U., Liu, J.: Incremental ordered neural network training. J. Intell. Syst. 12, 137\u2013172 (2002)","journal-title":"J. Intell. Syst."},{"key":"37_CR4","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1023\/A:1012799113953","volume":"14","author":"SU Guan","year":"2001","unstructured":"Guan, S.U., Li, S.: Incremental learning with respect to new incoming input attributes. Neural Process. Lett. 14, 241\u2013260 (2001)","journal-title":"Neural Process. Lett."},{"key":"37_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1007\/978-3-540-69311-6_34","volume-title":"Frontiers in Algorithmics","author":"X Liu","year":"2008","unstructured":"Liu, X., Zhang, G., Zhan, Y., Zhu, E.: An incremental feature learning algorithm based on least square support vector machine. In: Preparata, F.P., Wu, X., Yin, J. (eds.) FAW 2008. LNCS, vol. 5059, pp. 330\u2013338. Springer, Heidelberg (2008)"},{"key":"37_CR6","doi-asserted-by":"crossref","unstructured":"Bai, W., Cheng, S., Tadjouddine, E.M., Guan, S.-U.: Incremental attribute based particle swarm optimization. In: 2012 8th International Conference on Natural Computation, ICNC 2012, pp. 669\u2013674. IEEE Computer Society, 29 May 2012\u201331 May 2012","DOI":"10.1109\/ICNC.2012.6234699"},{"key":"37_CR7","doi-asserted-by":"crossref","unstructured":"Chao, S., Wong, F.: An incremental decision tree learning methodology regarding attributes in medical data mining. In: 2009 International Conference on Machine Learning and Cybernetics, pp. 1694\u20131699. IEEE Computer Society, 12 July 2009\u201315 July 2009","DOI":"10.1109\/ICMLC.2009.5212333"},{"key":"37_CR8","doi-asserted-by":"publisher","first-page":"3509","DOI":"10.1016\/j.neucom.2007.10.012","volume":"71","author":"JH Ang","year":"2008","unstructured":"Ang, J.H., Guan, S.U., Tan, K.C., Al Mamun, A.: Interference-less neural network training. Neurocomputing 71, 3509\u20133524 (2008)","journal-title":"Neurocomputing"},{"key":"37_CR9","first-page":"45","volume":"13","author":"SU Guan","year":"2004","unstructured":"Guan, S.U., Liu, J.: Incremental neural network training with an increasing input dimension. J. Intell. Syst. 13, 45\u201369 (2004)","journal-title":"J. Intell. Syst."},{"key":"37_CR10","doi-asserted-by":"crossref","unstructured":"Wang, T., Guan, S.U.: Feature ordering for neural incremental attribute learning based on fisher\u2019s linear discriminant. In: 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013, vol. 2, pp. 507\u2013510. IEEE Computer Society, Hangzhou, China (2013)","DOI":"10.1109\/IHMSC.2013.268"},{"key":"37_CR11","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/978-3-642-25664-6_32","volume-title":"Foundations of Intelligent Systems","author":"T Wang","year":"2011","unstructured":"Wang, T., Guan, S.-U., Liu, F.: Feature discriminability for pattern classification based on neural incremental attribute learning. In: Wang, Y., Li, T. (eds.) ISKE2011. AISC, vol. 122, pp. 275\u2013280. Springer, Heidelberg (2011)"},{"key":"37_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/978-3-642-31362-2_4","volume-title":"Advances in Neural Networks \u2013 ISNN 2012","author":"T Wang","year":"2012","unstructured":"Wang, T., Guan, S.-U., Liu, F.: Entropic feature discrimination ability for pattern classification based on neural IAL. In: Wang, J., Yen, G.G., Polycarpou, M.M. (eds.) ISNN 2012, Part II. LNCS, vol. 7368, pp. 30\u201337. Springer, Heidelberg (2012)"},{"key":"37_CR13","doi-asserted-by":"publisher","first-page":"807","DOI":"10.7763\/IJMLC.2012.V2.242","volume":"2","author":"T Wang","year":"2012","unstructured":"Wang, T., Guan, S.U., Liu, F.: Correlation-based feature ordering for classification based on neural incremental attribute learning. Int. J. Mach. Learn. Comput. 2, 807\u2013811 (2012)","journal-title":"Int. J. Mach. Learn. Comput."},{"key":"37_CR14","doi-asserted-by":"publisher","first-page":"1450019","DOI":"10.1142\/S1469026814500199","volume":"13","author":"T Wang","year":"2014","unstructured":"Wang, T., Guan, S.U., Man, K.L., Ting, T.O., Lisitsa, A.: Optimized neural incremental attribute learning for pattern classification based on statistical discriminability. Int. J. Comput. Intell. Appl. 13, 1450019 (2014)","journal-title":"Int. J. Comput. Intell. Appl."},{"key":"37_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"482","DOI":"10.1007\/978-3-642-35606-3_57","volume-title":"Network and Parallel Computing","author":"T Wang","year":"2012","unstructured":"Wang, T., Guan, S.-U., Ting, T., Man, K.L., Liu, F.: Evolving linear discriminant in a continuously growing dimensional space for incremental attribute learning. In: Park, J.J., Zomaya, A., Yeo, S.-S., Sahni, S. (eds.) NPC 2012. LNCS, vol. 7513, pp. 482\u2013491. Springer, Heidelberg (2012)"},{"key":"37_CR16","unstructured":"Wang, T., Wang, Y.: Pattern classification with ordered features using mRMR and neural networks. In: 2010 International Conference on Information, Networking and Automation, ICINA 2010, pp. V2128\u2013V2131. IEEE Computer Society, 17 October 2010\u201319 October 2010"},{"key":"37_CR17","first-page":"95","volume":"13","author":"SU Guan","year":"2004","unstructured":"Guan, S.U., Li, P.: Incremental learning in terms of output attributes. J. Intell. Syst. 13, 95\u2013122 (2004)","journal-title":"J. Intell. Syst."},{"key":"37_CR18","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng, H., Long, F., Ding, C.: Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27, 1226\u20131238 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"37_CR19","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1109\/TNN.2002.1000123","volume":"13","author":"SU Guan","year":"2002","unstructured":"Guan, S.U., Li, S.C.: Parallel growing and training of neural networks using output parallelism. IEEE Trans. Neural Netw. 13, 542\u2013550 (2002)","journal-title":"IEEE Trans. Neural Netw."},{"key":"37_CR20","first-page":"167","volume":"16","author":"SU Guan","year":"2007","unstructured":"Guan, S.U., Wang, K.: Hierarchical incremental class learning with output parallelism. J. Intell. Syst. 16, 167\u2013193 (2007)","journal-title":"J. Intell. Syst."}],"container-title":["Lecture Notes in Computer Science","Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-23862-3_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T00:51:00Z","timestamp":1748652660000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-23862-3_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319238616","9783319238623"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-23862-3_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}