{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T06:52:41Z","timestamp":1725691961468},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642315879"},{"type":"electronic","value":"9783642315886"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-31588-6_31","type":"book-chapter","created":{"date-parts":[[2012,7,21]],"date-time":"2012-07-21T02:21:58Z","timestamp":1342837318000},"page":"236-243","source":"Crossref","is-referenced-by-count":0,"title":["Geometric Linear Regression and Geometric Relation"],"prefix":"10.1007","author":[{"given":"Kaijun","family":"Wang","sequence":"first","affiliation":[]},{"given":"Liying","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"3","key":"31_CR1","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1089\/cmb.2005.12.355","volume":"12","author":"M. Wagner","year":"2005","unstructured":"Wagner, M., Adamczak, R., Porollo, A., Meller, J.: Linear Regression Models for Solvent Accessibility Prediction in Proteins. Journal of Computational Biology\u00a012(3), 355\u2013369 (2005)","journal-title":"Journal of Computational Biology"},{"issue":"2","key":"31_CR2","doi-asserted-by":"publisher","first-page":"993","DOI":"10.1016\/j.csda.2010.08.004","volume":"55","author":"E.M. Hashimoto","year":"2011","unstructured":"Hashimoto, E.M., Ortega, E.M.M., Paula, G.A., Barreto, M.L.: Regression Models for Grouped Survival Data: Estimation and Sensitivity Analysis. Computational Statistics & Data Analysis\u00a055(2), 993\u20131007 (2011)","journal-title":"Computational Statistics & Data Analysis"},{"issue":"1","key":"31_CR3","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1002\/isaf.311","volume":"17","author":"K.O. Cogger","year":"2010","unstructured":"Cogger, K.O.: Nonlinear Multiple Regression Methods: a Survey and Extensions. Intelligent Systems in Accounting, Finance and Management\u00a017(1), 19\u201339 (2010)","journal-title":"Intelligent Systems in Accounting, Finance and Management"},{"key":"31_CR4","volume-title":"Multivariate Statistical Analysis","author":"Z.F. Yuan","year":"2009","unstructured":"Yuan, Z.F., Song, S.D.: Multivariate Statistical Analysis. Science Press, Beijing (2009)"},{"issue":"1","key":"31_CR5","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/s10115-008-0124-8","volume":"17","author":"K. Wang","year":"2008","unstructured":"Wang, K., Zhang, J., Shen, F., Shi, L.: Adaptive Learning of Dynamic Bayesian Networks with Changing Structures by Detecting Geometric Structures of Time series. Knowledge and Information Systems\u00a017(1), 121\u2013133 (2008)","journal-title":"Knowledge and Information Systems"},{"key":"31_CR6","volume-title":"An Introduction to Differential Manifold","author":"W. Chen","year":"2001","unstructured":"Chen, W.: An Introduction to Differential Manifold. High Education Press, Beijing (2001)"},{"issue":"1","key":"31_CR7","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.amc.2005.09.054","volume":"176","author":"J.H.B. Sampaio Jr.","year":"2006","unstructured":"Sampaio Jr., J.H.B.: An Iterative Procedure for Perpendicular Offsets Linear Least Squares Fitting with Extension to Multiple Linear Regression. Applied Mathematics and Computation\u00a0176(1), 91\u201398 (2006)","journal-title":"Applied Mathematics and Computation"},{"key":"31_CR8","unstructured":"Blake, C.L., Merz, C.J.: UCI Repository of Machine Learning Databases. University of California, Irvine (1998), \n                    \n                      http:\/\/mlearn.ics.uci.edu\/MLRepository.html"},{"key":"31_CR9","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/S0925-2312(03)00431-4","volume":"55","author":"D. Meyer","year":"2003","unstructured":"Meyer, D., Leisch, F., Hornik, K.: The Support Vector Machine under Test. Neurocomputing\u00a055, 169\u2013186 (2003)","journal-title":"Neurocomputing"},{"key":"31_CR10","doi-asserted-by":"publisher","first-page":"99","DOI":"10.2481\/dsj.6.99","volume":"6","author":"K. Wang","year":"2007","unstructured":"Wang, K., Zhang, J., Guo, L., Tu, C.: Linear and Support Vector Regressions based on Geometrical Correlation of Data. Data Science Journal\u00a06, 99\u2013106 (2007)","journal-title":"Data Science Journal"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Technology"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-31588-6_31.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T12:14:07Z","timestamp":1620130447000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-31588-6_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642315879","9783642315886"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-31588-6_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}