{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T05:08:14Z","timestamp":1740373694816,"version":"3.37.3"},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540283232"},{"type":"electronic","value":"9783540318538"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11539087_35","type":"book-chapter","created":{"date-parts":[[2010,7,20]],"date-time":"2010-07-20T22:26:10Z","timestamp":1279664770000},"page":"293-302","source":"Crossref","is-referenced-by-count":1,"title":["An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function"],"prefix":"10.1007","author":[{"given":"Jing","family":"Li","sequence":"first","affiliation":[]},{"given":"Bao-Liang","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Michinori","family":"Ichikawa","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"35_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1007\/BFb0032491","volume-title":"Biological and Artificial Computation: From Neuroscience to Neurotechnology","author":"B.L. Lu","year":"1997","unstructured":"Lu, B.L., Ito, M.: Task decomposition based on class relations: a modular neural network architecture for pattern classification. In: Cabestany, J., Mira, J., Moreno-D\u00edaz, R. (eds.) IWANN 1997. LNCS, vol.\u00a01240, pp. 330\u2013339. Springer, Heidelberg (1997)"},{"key":"35_CR2","doi-asserted-by":"publisher","first-page":"1244","DOI":"10.1109\/72.788664","volume":"10","author":"B.L. Lu","year":"1999","unstructured":"Lu, B.L., Ito, M.: Task Decomposition and Module Combination Based on Class Relations: A Modular Neural Network for Pattern Classification. IEEE Trans. Neural Networks\u00a010, 1244\u20131256 (1999)","journal-title":"IEEE Trans. Neural Networks"},{"key":"35_CR3","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1023\/A:1023868723792","volume":"19","author":"B.L. Lu","year":"2003","unstructured":"Lu, B.L., Ma, Q., Ichikawa, M., Isahara, H.: Efficient Part-of-Speech Tagging with a Min-Max Modular Neural Network Model. Applied Intelligence\u00a019, 65\u201381 (2003)","journal-title":"Applied Intelligence"},{"key":"35_CR4","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1109\/TBME.2003.821023","volume":"51","author":"B.L. Lu","year":"2004","unstructured":"Lu, B.L., Shin, J., Ichikawa, M.: Massively Parallel Classification of Single-Trial EEG Signals Using a Min-Max Modular Neural Network. IEEE Trans. Biomedical Engineering\u00a051, 551\u2013558 (2004)","journal-title":"IEEE Trans. Biomedical Engineering"},{"key":"35_CR5","volume-title":"Pattern Classification","author":"R.O. Duda","year":"2001","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley & Sons, Inc., Chichester (2001)","edition":"2"},{"key":"35_CR6","unstructured":"Wang, Y.F.: A study of incremental learning method based on Min-Max Module networks (in Chinese). Bachelor Dissertation of SJTU (2003)"},{"key":"35_CR7","doi-asserted-by":"crossref","unstructured":"Lu, B.L., Ichikawa, M.: Emergent On-Line Learning with a Gaussian Zero-Crossing Discriminant Function. In: IJCNN 2002, vol.\u00a02, pp. 1263\u20131268 (2002)","DOI":"10.1109\/IJCNN.2002.1007676"},{"key":"35_CR8","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1109\/TIT.1968.1054155","volume":"14","author":"P.E. Hart","year":"1968","unstructured":"Hart, P.E.: The Condensed Nearest Neighbor Rule. IEEE Trans. Information Theory\u00a014, 515\u2013516 (1968)","journal-title":"IEEE Trans. Information Theory"},{"key":"35_CR9","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1109\/TIT.1972.1054809","volume":"18","author":"G.W. Gates","year":"1972","unstructured":"Gates, G.W.: The Reduced Nearest Neighbor Rule. IEEE Trans. Information Theory\u00a018, 431\u2013433 (1972)","journal-title":"IEEE Trans. Information Theory"},{"issue":"3","key":"35_CR10","first-page":"431","volume":"2","author":"D.L. Wilson","year":"1972","unstructured":"Wilson, D.L.: Asympotic propoties of nearest neighbor rules using edited data. IEEE trans. System, Man, and Cybernetics\u00a02(3), 431\u2013433 (1972)","journal-title":"IEEE trans. System, Man, and Cybernetics"},{"key":"35_CR11","first-page":"37","volume":"6","author":"D.W. Aha","year":"1991","unstructured":"Aha, D.W., Dennis, K., Mack, K.A.: Instance-based learning algorithm. Machine Learning\u00a06, 37\u201366 (1991)","journal-title":"Machine Learning"},{"key":"35_CR12","doi-asserted-by":"crossref","unstructured":"Zhang, J.P.: Selecting typical instances in instance-based learning. In: Proceedings of the Ninth International Conference on Machine Learning, pp. 470\u2013479 (1992)","DOI":"10.1016\/B978-1-55860-247-2.50066-8"},{"issue":"8","key":"35_CR13","doi-asserted-by":"publisher","first-page":"1075","DOI":"10.1109\/TPAMI.2002.1023804","volume":"24","author":"L. Wai","year":"2002","unstructured":"Wai, L., Keung, C.K., Liu, D.Y.: Discovering useful concept prototypes for classification based on filtering and abstraction. IEEE Trans. Pattern Analysis and Machine Intelligence\u00a024(8), 1075\u20131090 (2002)","journal-title":"IEEE Trans. Pattern Analysis and Machine Intelligence"},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Skalak, D.B.: Prototype and feature selection by sampling and random mutation hill climbing algorithm. In: Proceedings of the Eleventh International Conference on Machine Learning, pp. 293\u2013301 (1994)","DOI":"10.1016\/B978-1-55860-335-6.50043-X"},{"key":"35_CR15","unstructured":"Cameron-Jones, R.M.: Instance selection by encoding length heuristic with random mutation hill climbing. In: Proceddings of the Eightn Australian Joint Conference on Artificial Intelligence, pp. 99\u2013106 (1995)"},{"key":"35_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1007\/11427391_74","volume-title":"Advances in Neural Networks \u2013 ISNN 2005","author":"J. Li","year":"2005","unstructured":"Li, J., Lu, B.L., Ichikawa, M.: Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function. In: Wang, J., Liao, X.-F., Yi, Z. (eds.) ISNN 2005. LNCS, vol.\u00a03496, pp. 467\u2013472. Springer, Heidelberg (2005)"},{"key":"35_CR17","unstructured":"Lu, B.L., Wang, K.A., Utiyama, M., Isahara, H.: A part-versus-part method for massively parallel training of support vector machines. In: Proceedings of IJCNN 2004, Budapast, July 25-29, pp. 735\u2013740 (2004)"},{"key":"35_CR18","unstructured":"Murphy, P.M., Aha, D.W.: UCI Repository of Machine Learning Database. Dept. of Information and Computer Science, Univ. of Calif., Irvine (1994)"}],"container-title":["Lecture Notes in Computer Science","Advances in Natural Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11539087_35.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T05:09:14Z","timestamp":1740287354000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11539087_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540283232","9783540318538"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/11539087_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}