{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T05:18:25Z","timestamp":1737436705104,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":21,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540734987"},{"type":"electronic","value":"9783540734994"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-73499-4_21","type":"book-chapter","created":{"date-parts":[[2007,8,27]],"date-time":"2007-08-27T04:01:39Z","timestamp":1188187299000},"page":"276-285","source":"Crossref","is-referenced-by-count":0,"title":["Choosing the Kernel Parameters for the Directed Acyclic Graph Support Vector Machines"],"prefix":"10.1007","author":[{"given":"Kuo-Ping","family":"Wu","sequence":"first","affiliation":[]},{"given":"Sheng-De","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"21_CR1","volume-title":"Statistical Learning Theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V.: Statistical Learning Theory. Wiley, New York (1998)"},{"key":"21_CR2","volume-title":"Advances in Kernel Methods \u2013 Support Vector Learning","author":"U. Kre\u00df el","year":"1999","unstructured":"Kre\u00df el, U.: Pairwise classification and support vector machines. In: Sch\u00f6lkopf, B., Burges, C.J.C., Smola, A.J. (eds.) Advances in Kernel Methods \u2013 Support Vector Learning, MIT Press, Cambridge, MA (1999)"},{"key":"21_CR3","doi-asserted-by":"crossref","unstructured":"Bottu, L., Cortes, C., Denker, J., Drucker, H., Guyon, I., Jackel, L., LeCun, Y., Muller, U., Sackinger, E., Simard, P., Vapnik, V.: Comparison of classifier methods: A case study in handwritten digit recognition. In: Proc. Int. Conf. Pattern Recognition, pp. 77\u201387 (1994)","DOI":"10.1109\/ICPR.1994.576879"},{"key":"21_CR4","first-page":"547","volume-title":"Advances in Neural Information Processing Systems","author":"J.C. Platt","year":"2000","unstructured":"Platt, J.C., Cristianini, N., Show-Tayler, J.: Large margin DAG\u2019s for multiclass classification. In: Advances in Neural Information Processing Systems, vol.\u00a012, pp. 547\u2013553. MIT Press, Cambridge, MA (2000)"},{"issue":"2","key":"21_CR5","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1109\/72.991427","volume":"13","author":"C.-W. Hsu","year":"2002","unstructured":"Hsu, C.-W., Lin, C.-J.: A comparison of methods for multiclass support vector machines. IEEE trans. Neural Networks\u00a013(2), 415\u2013425 (2002)","journal-title":"IEEE trans. Neural Networks"},{"issue":"7","key":"21_CR6","doi-asserted-by":"publisher","first-page":"1667","DOI":"10.1162\/089976603321891855","volume":"15","author":"S.S. Keerthi","year":"2003","unstructured":"Keerthi, S.S., Lin, C.-J.: Asymptotic behaviors of support vector machines with Gaussian kernel. Neural Computation\u00a015(7), 1667\u20131689 (2003)","journal-title":"Neural Computation"},{"key":"21_CR7","unstructured":"Lin, H.-T., Lin, C.-J.: A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods, Technical report, Department of Computer Science and Information Engineering, National Taiwan University"},{"key":"21_CR8","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1109\/CEC.2005.1554741","volume":"1","author":"S.A. Rojas","year":"2005","unstructured":"Rojas, S.A., Fernandez-Reyes, D.: Adapting Multiple Kernel Parameters for Support Vector Machines using Genetic Algorithms. The 2005 IEEE Congress on Evolutionary Computation\u00a01, 626\u2013631 (2005)","journal-title":"The 2005 IEEE Congress on Evolutionary Computation"},{"key":"21_CR9","unstructured":"Liang, X., Liu, F.: Choosing multiple parameters for SVM based on genetic algorithm. In: 6th International Conference on Signal Processing, vol. 1, pp. 117\u2013119 (August 26-30, 2002)"},{"key":"21_CR10","unstructured":"Liu, H.-J., Wang, Y.-N., Lu, X.-F.: A Method to Choose Kernel Function and its Parameters for Support Vector Machines. In: Proceedings of 2005 International Conference on Machine Learning and Cybernetics, vol. 7, pp. 4277\u20134280 (August 18\u201321, 2005)"},{"key":"21_CR11","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1023\/A:1021877911972","volume":"51","author":"D. Hush","year":"2003","unstructured":"Hush, D., Scovel, C.: Polynomial-time decomposition algorithms for support vector machines. Machine Learning\u00a051, 51\u201371 (2003)","journal-title":"Machine Learning"},{"key":"21_CR12","unstructured":"Platt, J.C.: Sequential minimal optimization: A fast algorithm for training support vector machines, Microsoft Research, Technical Report MST-TR-98-14 (1998)"},{"key":"21_CR13","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/S0031-3203(03)00236-X","volume":"37","author":"K.-I. Maruyama","year":"2004","unstructured":"Maruyama, K.-I., Maruyama, M., Miyao, H., Nakano, Y.: A method to make multiple hypotheses with high cumulative recognition rate using SVMs. Pattern Recognition\u00a037, 241\u2013251 (2004)","journal-title":"Pattern Recognition"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Debnath, R., Takahashi, H.: An efficient method for tuning kernel parameter of the support vector machine. In: IEEE International Symposium on Communications and Information Technology, vol. 2, pp. 1023\u20131028 (October 26\u201329, 2004)","DOI":"10.1109\/ISCIT.2004.1413874"},{"key":"21_CR15","unstructured":"Bi, L.-P., Huang, H., Zheng, Z.-Y., Song, H.-T.: New Heuristic for Determination Gaussian Kernel\u2019s Parameter. In: Proceedings of 2005 International Conference on Machine Learning and Cybernetics, vol. 7, pp. 4299\u20134304 (August 18\u201321, 2005)"},{"key":"21_CR16","unstructured":"Takahashi, F., Abe, S.: Optimizing directed acyclic graph support vector machines. In: ANNPR 2003. Proc. Artificial Neural Networks in Pattern Recognition, pp. 166\u2013170 (September 2003)"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Phetkaew, T., Kijsirikul, B., Rivepiboon, W.: Reordering adaptive directed acyclic graphs: An improved algorithm for multiclass support vector machines. In: IJCNN 2003. Proc. Internat. Joint Conf. on Neural Networks, vol. 2, pp. 1605\u20131610 (2003)","DOI":"10.1109\/IJCNN.2003.1223939"},{"key":"21_CR18","unstructured":"Wu, K.-P., Wang, S.-D.: Choosing the Kernel parameters of Support Vector Machines According to the Inter-cluster Distance. In: IJCNN 2006. Proc. Internat. Joint Conf. on Neural Networks (2006)"},{"issue":"3","key":"21_CR19","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1109\/3477.678624","volume":"28","author":"C. Bezdek","year":"1998","unstructured":"Bezdek, C., Pal, N.R.: Some New Indexes of Cluster Validity. IEEE Transaction on Systems, Man, And Cybernetics-Part B: Cybernetics\u00a028(3), 301\u2013315 (1998)","journal-title":"IEEE Transaction on Systems, Man, And Cybernetics-Part B: Cybernetics"},{"key":"21_CR20","unstructured":"Michie, D., Spiegelhalter, D.J., Taylor, C.C.: Machine learning, neural and statistical classification (1994), [Online available]: http:\/\/www.amsta.leeds.ac.uk\/~charles\/statlog\/"},{"key":"21_CR21","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines, [Online] available from World Wide Web: http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvmtools\/datasets\/"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Data Mining in Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-73499-4_21.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T17:20:32Z","timestamp":1737393632000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-73499-4_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540734987","9783540734994"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-73499-4_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}