{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T05:38:55Z","timestamp":1736573935744,"version":"3.32.0"},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540464792"},{"type":"electronic","value":"9783540464808"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11893028_89","type":"book-chapter","created":{"date-parts":[[2006,10,2]],"date-time":"2006-10-02T14:07:17Z","timestamp":1159798037000},"page":"801-810","source":"Crossref","is-referenced-by-count":1,"title":["A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification"],"prefix":"10.1007","author":[{"given":"Ling","family":"Ping","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wang","family":"Zhe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhou","family":"Chunguang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"89_CR1","doi-asserted-by":"crossref","unstructured":"D\u017eeroski, S.: Multi-Relational Data Mining: An Introduction. ACM SIGKDD Explorations Newsletter\u00a05(1) (2003)","DOI":"10.1145\/959242.959245"},{"key":"89_CR2","unstructured":"Ben-Hur, A., Horn, D., Siegelmann, H.T.: Support Vector Clustering. Journal of Machine Learning Research, 125\u2013137 (2001)"},{"key":"89_CR3","volume-title":"Advances in Neural Information Processing Systems","author":"A. Ng","year":"2002","unstructured":"Ng, A., Jordan, M., Weiss, Y.: On spectral clustering: Analysis and an algorithm. In: Advances in Neural Information Processing Systems. MIT Press, Cambridge (2002)"},{"key":"89_CR4","unstructured":"Xing, E., Ng, A., Jordan, M.: Distance Metric Learning, with Application to Clustering with Side-information. In: Advances in Neural Information Processing Systems, vol.\u00a015, pp. 505\u2013512 (2003)"},{"key":"89_CR5","volume-title":"Advances in Neural Information Processing Systems 14","author":"M. Polito","year":"2002","unstructured":"Polito, M., Perona, P.: Grouping and Dimensionality Reduction by Locally Linear Embedding. In: Dietterich, T.G., Becker, S., Ghahramani, Z. (eds.) Advances in Neural Information Processing Systems 14. MIT Press, Cambridge (2002)"},{"key":"89_CR6","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4175.001.0001","volume-title":"Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond","author":"B. Schlkopf","year":"2001","unstructured":"Schlkopf, B., Smola, A.J.: Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge (2001)"},{"key":"89_CR7","unstructured":"Haussler, D.: Convolution Kernels on Discrete Structures. Technical report, Department of Computer Science, University of California, Santa Cruz (1999)"},{"key":"89_CR8","unstructured":"Renders, J.: Kernel Methods in Natural Language Processing. Learning Methods for Text Understanding and Mining, Tutorial, France (2004)"},{"key":"89_CR9","unstructured":"http:\/\/www.cs.cmu.edu\/afs\/cs\/project\/theo-11\/www\/naive-bayes.html"},{"issue":"1-2","key":"89_CR10","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/S0004-3702(96)00034-3","volume":"89","author":"T.G. Dietterich","year":"1997","unstructured":"Dietterich, T.G., Lathrop, R.H., Lozano-Perez, T.: Solving the multiple instance problem with axis-parallel rectangles. Artificial Intelligence\u00a089(1-2), 31\u201371 (1997)","journal-title":"Artificial Intelligence"},{"key":"89_CR11","unstructured":"http:\/\/web.comlab.ox.ac.uk\/oucl\/research\/areas\/machlearn\/mutagenesis.html"},{"issue":"2","key":"89_CR12","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/5254.671089","volume":"13","author":"E. Bloedorn","year":"1998","unstructured":"Bloedorn, E., Michalski, R.: Data driven constructive induction. IEEE Intelligent Systems\u00a013(2), 30\u201337 (1998)","journal-title":"IEEE Intelligent Systems"},{"key":"89_CR13","volume-title":"ICML 2002","author":"T. Gaertner","year":"2002","unstructured":"Gaertner, T., Flach, P., Kowalczyk, A., Smola, A.: Multi-instance kernels. In: Sammut, C. (ed.) ICML 2002. Morgan Kaufmann, San Francisco (2002)"},{"key":"89_CR14","unstructured":"http:\/\/www.uncc.edu\/knowledgediscovery"},{"issue":"3","key":"89_CR15","doi-asserted-by":"publisher","first-page":"780","DOI":"10.1109\/TNN.2002.1000150","volume":"13","author":"M. Girolami","year":"2002","unstructured":"Girolami, M.: Mercer kernel-based clustering in feature space. IEEE Trans. on Neural Networks\u00a013(3), 780\u2013784 (2002)","journal-title":"IEEE Trans. on Neural Networks"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11893028_89.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T02:43:26Z","timestamp":1736563406000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11893028_89"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540464792","9783540464808"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/11893028_89","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}