{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T22:10:15Z","timestamp":1736633415447,"version":"3.32.0"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540490265"},{"type":"electronic","value":"9783540490586"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11925231_55","type":"book-chapter","created":{"date-parts":[[2006,11,6]],"date-time":"2006-11-06T14:48:34Z","timestamp":1162824514000},"page":"583-592","source":"Crossref","is-referenced-by-count":7,"title":["Optimizing Weighted Kernel Function for Support Vector Machine by Genetic Algorithm"],"prefix":"10.1007","author":[{"given":"Ha-Nam","family":"Nguyen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syng-Yup","family":"Ohn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soo-Hoan","family":"Chae","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong Ho","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Inbok","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"55_CR1","doi-asserted-by":"crossref","unstructured":"Cristianini, N., Shawe-Taylor, J.: An introduction to Support Vector Machines and other kernel-based learning methods, Cambridge (2000)","DOI":"10.1017\/CBO9780511801389"},{"key":"55_CR2","unstructured":"Vapnik, V.N., et al.: Theory of Support Vector Machines, Technical Report CSD TR-96-17, Univ. of London (1996)"},{"key":"55_CR3","unstructured":"Kecman, V.: Learning and Soft Computing: Support Vector Machines. Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems), The MIT press (2001)"},{"key":"55_CR4","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, Chichester (2001)","edition":"2"},{"key":"55_CR5","volume-title":"Advances in Kernel Methods - Support Vector Learning","author":"T. Joachims","year":"1999","unstructured":"Joachims, T.: Making large-Scale SVM Learning Practical, ch. 11. In: Advances in Kernel Methods - Support Vector Learning, MIT Press, Cambridge (1999)"},{"key":"55_CR6","volume-title":"Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)","author":"B. Sch\u00f6kopf","year":"2002","unstructured":"Sch\u00f6kopf, B., Smola, A.J.: Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning). MIT Press, Cambridge (2002)"},{"key":"55_CR7","volume-title":"Perceptrons","author":"M.L. Minsky","year":"1969","unstructured":"Minsky, M.L., Papert, S.A.: Perceptrons. MIT Press, Cambridge (1969)"},{"key":"55_CR8","doi-asserted-by":"crossref","unstructured":"Michalewicz, Z.: Genetic Algorithms + Data structures = Evolution Programs, 3 re rev. and extended ed. Springer, Heidelberg (1996)","DOI":"10.1007\/978-3-662-03315-9"},{"key":"55_CR9","volume-title":"Genetic Algorithms in Search, Optimization & Machine Learning","author":"D.E. Goldberg","year":"1989","unstructured":"Goldberg, D.E.: Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley, Reading (1989)"},{"key":"55_CR10","unstructured":"Mitchell, M.: Introduction to genetic Algorithms, fifth printing. MIT press, Cambridge (1999)"},{"key":"55_CR11","doi-asserted-by":"publisher","first-page":"6745","DOI":"10.1073\/pnas.96.12.6745","volume":"96","author":"U. Alon","year":"1999","unstructured":"Alon, U., Barkai, N., Notterman, D., Gish, K., Ybarra, S., Mack, D., Levine, A.: Broad Patterns of Gene Expression Revealed by Clustering Analysis of Tumor and Normal Colon Tissues Probed by Oligonucleotide Arrays. Proceedings of National Academy of Sciences of the United States of American\u00a096, 6745\u20136750 (1999)","journal-title":"Proceedings of National Academy of Sciences of the United States of American"},{"key":"55_CR12","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1126\/science.286.5439.531","volume":"286","author":"T.R. Golub","year":"1999","unstructured":"Golub, T.R., Slonim, D.K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J.P., Coller, H., Loh, M.L., Downing, J.R., Caligiuri, M.A., Bloomfield, C.D., Lander, E.S.: Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring. Science\u00a0286, 531\u2013537 (1999)","journal-title":"Science"},{"key":"55_CR13","doi-asserted-by":"crossref","unstructured":"Fr\u00f6hlich, H., Chapelle, O., Scholkopf, B.: Feature selection for support vector machines by means of genetic algorithm, Tools with Artificial Intelligence. In: Proceedings 15th IEEE International Conference, pp. 142\u2013148 (2003)","DOI":"10.1109\/TAI.2003.1250182"},{"key":"55_CR14","doi-asserted-by":"crossref","unstructured":"Chen, X.-w.: Gene selection for cancer classification using bootstrapped genetic algorithms and support vector machines. In: The Computational Systems, Bioinformatics Conference, Proceedings IEEE International Conference, pp. 504\u2013505 (2003)","DOI":"10.1109\/CSB.2003.1227389"},{"key":"55_CR15","doi-asserted-by":"crossref","unstructured":"Park, C., Cho, S.-B.: Genetic search for optimal ensemble of feature-classifier pairs in DNA gene expression profiles. In: Neural Networks, Proceedings of the International Joint Conference, vol.\u00a03, pp. 1702\u20131707 (2003)","DOI":"10.1109\/IJCNN.2003.1223663"},{"key":"55_CR16","unstructured":"R\u00fcping, S.: mySVM-Manual, University of Dortmund, Lehrstuhl Informatik (2000), online available: http:\/\/www-ai.cs.uni-dortmund.de\/SOFTWARE\/MYSVM"},{"key":"55_CR17","doi-asserted-by":"crossref","unstructured":"Kohavi, R., John, G.H.: Wrappers for Feature Subset Selection. Artificial Intelligence, 273\u2013324 (1997)","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"55_CR18","doi-asserted-by":"crossref","unstructured":"Blum, A.L., Langley, P.: Selection of Relevant Features and Examples in Machine Learning. Artificial Intelligence, 245\u2013271 (1997)","DOI":"10.1016\/S0004-3702(97)00063-5"},{"key":"55_CR19","volume-title":"Machine Learning","author":"T.M. Michell","year":"1997","unstructured":"Michell, T.M.: Machine Learning. McGraw-Hill, New York (1997)"},{"key":"55_CR20","unstructured":"Liu, C.-C., Chen, W.-S.E., Lin, C.-C., Liu, H.-C., Chen, H.-Y., Yang, P.-C., Chang, P.-C., Chen, J.J.W.: Topology-based cancer classification and related pathway mining using microarray data. Nucleic Acids Res., gkl583v1 (August 16, 2006)"}],"container-title":["Lecture Notes in Computer Science","MICAI 2006: Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11925231_55.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T21:45:25Z","timestamp":1736631925000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11925231_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540490265","9783540490586"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/11925231_55","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}