{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T06:51:44Z","timestamp":1763016704572},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2006,8,20]]},"DOI":"10.1145\/1150402.1150454","type":"proceedings-article","created":{"date-parts":[[2006,10,18]],"date-time":"2006-10-18T22:04:00Z","timestamp":1161209040000},"update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":84,"title":["Supervised probabilistic principal component analysis"],"prefix":"10.1145","author":[{"given":"Shipeng","family":"Yu","sequence":"first","affiliation":[{"name":"University of Munich, Germany &amp; Siemens AG, Munich, Germany"}]},{"given":"Kai","family":"Yu","sequence":"additional","affiliation":[{"name":"Siemens AG, Munich, Germany"}]},{"given":"Volker","family":"Tresp","sequence":"additional","affiliation":[{"name":"Siemens AG, Munich, Germany"}]},{"given":"Hans-Peter","family":"Kriegel","sequence":"additional","affiliation":[{"name":"University of Munich, Germany"}]},{"given":"Mingrui","family":"Wu","sequence":"additional","affiliation":[{"name":"MPI for Biological Cybernetics, T\u00fcubingen, Germany"}]}],"member":"320","published-online":{"date-parts":[[2006,8,20]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Prediction by supervised principal components. Technical report","author":"Bair E.","year":"2004","unstructured":"E. Bair , T. Hastie , D. Paul , and R. Tibshirani . Prediction by supervised principal components. Technical report , 2004 . E. Bair, T. Hastie, D. Paul, and R. Tibshirani. Prediction by supervised principal components. Technical report, 2004."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"e_1_3_2_1_4_1","volume-title":"Pattern Classification","author":"Duda R. O.","year":"2000","unstructured":"R. O. Duda , P. E. Hart , and D. G. Stork . Pattern Classification . Wiley , 2000 . R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wiley, 2000."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"e_1_3_2_1_6_1","volume-title":"Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces. Journal of Machine Learning Research, 5(Jan):73--99","author":"Fukumizu K.","year":"2004","unstructured":"K. Fukumizu , F. R. Bach , and M. I. Jordan . Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces. Journal of Machine Learning Research, 5(Jan):73--99 , 2004 . K. Fukumizu, F. R. Bach, and M. I. Jordan. Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces. Journal of Machine Learning Research, 5(Jan):73--99, 2004."},{"key":"e_1_3_2_1_7_1","volume-title":"Discriminant analysis by Gaussian mixtures. Journal of the Royal Statistical Society series B, 58:158--176","author":"Hastie T.","year":"1996","unstructured":"T. Hastie and R. Tibshirani . Discriminant analysis by Gaussian mixtures. Journal of the Royal Statistical Society series B, 58:158--176 , 1996 . T. Hastie and R. Tibshirani. Discriminant analysis by Gaussian mixtures. Journal of the Royal Statistical Society series B, 58:158--176, 1996."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-21606-5"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/28.3-4.321"},{"key":"e_1_3_2_1_10_1","volume-title":"Principal Component Analysis","author":"Jolliffe I. T.","year":"2002","unstructured":"I. T. Jolliffe . Principal Component Analysis . Springer Verlag , 2002 . I. T. Jolliffe. Principal Component Analysis. Springer Verlag, 2002."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1005345"},{"key":"e_1_3_2_1_12_1","volume-title":"Beyond Anova: Basics of Applied Statistics","author":"Miller R. G.","year":"1986","unstructured":"R. G. Miller . Beyond Anova: Basics of Applied Statistics . John Wiley , 1986 . R. G. Miller. Beyond Anova: Basics of Applied Statistics. John Wiley, 1986."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976699300016674"},{"key":"e_1_3_2_1_15_1","volume-title":"Science","author":"Roweis S.","year":"2000","unstructured":"S. Roweis and L. Saul . Nonlinear dimensionality reduction by locally linear embedding . Science , 2000 . S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 2000."},{"key":"e_1_3_2_1_16_1","volume-title":"Learning with Kernels","author":"Sch\u00f6lkopf B.","year":"2002","unstructured":"B. Sch\u00f6lkopf and A. J. Smola . Learning with Kernels . MIT Press , 2002 . B. Sch\u00f6lkopf and A. J. Smola. Learning with Kernels. MIT Press, 2002."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00196"},{"key":"e_1_3_2_1_18_1","volume-title":"Soft modeling by latent variables","author":"Wold H.","year":"1975","unstructured":"H. Wold . Soft modeling by latent variables ; the nonlinear iterative partial least squares approach. Perspectives in Probability and Statistics, Papers in Honour of M. S. Bartlett , 1975 . H. Wold. Soft modeling by latent variables; the nonlinear iterative partial least squares approach. Perspectives in Probability and Statistics, Papers in Honour of M. S. Bartlett, 1975."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015348"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1076034.1076080"}],"event":{"name":"KDD06: The 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Philadelphia PA USA","acronym":"KDD06","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","ACM Association for Computing Machinery"]},"container-title":["Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1150402.1150454","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,8]],"date-time":"2023-01-08T09:26:23Z","timestamp":1673169983000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1150402.1150454"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,8,20]]},"references-count":19,"alternative-id":["10.1145\/1150402.1150454","10.1145\/1150402"],"URL":"https:\/\/doi.org\/10.1145\/1150402.1150454","relation":{},"subject":[],"published":{"date-parts":[[2006,8,20]]},"assertion":[{"value":"2006-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}