{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:37:41Z","timestamp":1759333061163},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642215001"},{"type":"electronic","value":"9783642215018"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-21501-8_31","type":"book-chapter","created":{"date-parts":[[2011,5,30]],"date-time":"2011-05-30T09:45:30Z","timestamp":1306748730000},"page":"248-255","source":"Crossref","is-referenced-by-count":7,"title":["Graph Laplacian for Semi-supervised Feature Selection in Regression Problems"],"prefix":"10.1007","author":[{"given":"Gauthier","family":"Doquire","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michel","family":"Verleysen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"31_CR1","first-page":"1157","volume":"3","author":"I. Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An Introduction to Variable and Feature Selection. J. Mach. Lear. Res.\u00a03, 1157\u20131182 (2003)","journal-title":"J. Mach. Lear. Res."},{"key":"31_CR2","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1109\/72.298224","volume":"5","author":"R. Battiti","year":"1994","unstructured":"Battiti, R.: Using Mutual Information for Selecting Features in Supervised Neural Net Learning. IEEE T. Neural. Networ.\u00a05, 537\u2013550 (1994)","journal-title":"IEEE T. Neural. Networ."},{"key":"31_CR3","doi-asserted-by":"crossref","unstructured":"Mitra, P., Murthy, C.A., Pal, S.K.: Unsupervised Feature Selection Using Feature Similarity. IEEE T. Pattern. Anal.\u00a024 (2002)","DOI":"10.1109\/34.990133"},{"key":"31_CR4","unstructured":"He, X., Cai, D., Niyogi, P.: Laplacian Score for Feature Selection. In: Advances in Neural Information Processing Systems (NIPS), vol.\u00a017 (2005)"},{"key":"31_CR5","volume-title":"Semi-Supervised Learning","author":"O. Chapelle","year":"2007","unstructured":"Chapelle, O., Sch\u00f6lkopf, B., Zien, A.: Semi-Supervised Learning. MIT Press, Cambridge (2007)"},{"key":"31_CR6","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-01548-9","volume-title":"Introduction to Semi-Supervised Learning","author":"X. Zhu","year":"2009","unstructured":"Zhu, X., Goldberg, A.B.: Introduction to Semi-Supervised Learning. Morgan & Claypool Publishers, San Francisco (2009)"},{"key":"31_CR7","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Liu, H.: Semi-supervised Feature Selection via Spectral Analysis. In: 7th SIAM International Conference on Data Mining (2007)","DOI":"10.1137\/1.9781611972771.75"},{"key":"31_CR8","doi-asserted-by":"crossref","unstructured":"Quinz\u00e1n, I., Sotoca, J.M., Pla, F.: Clustering-Based Feature Selection in Semi-supervised Problems. In: 9th International Conference on Intelligent Systems Design and Applications, pp. 535\u2013540 (2009)","DOI":"10.1109\/ISDA.2009.211"},{"key":"31_CR9","series-title":"CBMS Regional Conference Series in Mathematics 92","volume-title":"Spectral Graph Theory","author":"F.R.K. Chung","year":"1997","unstructured":"Chung, F.R.K.: Spectral Graph Theory. CBMS Regional Conference Series in Mathematics 92. American Mathematical Society, Providence (1997)"},{"key":"31_CR10","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.neucom.2004.11.012","volume":"64","author":"F. Rossi","year":"2005","unstructured":"Rossi, F., Delannay, N., Conan-Guez, B., Verleysen, M.: Representation of Functional Data in Neural Networks. Neurocomputing\u00a064, 183\u2013210 (2005)","journal-title":"Neurocomputing"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-21501-8_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T03:55:01Z","timestamp":1686110101000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-21501-8_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642215001","9783642215018"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-21501-8_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}