{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:38:54Z","timestamp":1742956734504,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319165486"},{"type":"electronic","value":"9783319165493"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-16549-3_38","type":"book-chapter","created":{"date-parts":[[2015,3,16]],"date-time":"2015-03-16T05:30:34Z","timestamp":1426483834000},"page":"471-480","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Alternating Optimization of Unsupervised Regression with Evolutionary Embeddings"],"prefix":"10.1007","author":[{"given":"Daniel","family":"L\u00fcckehe","sequence":"first","affiliation":[]},{"given":"Oliver","family":"Kramer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,3,17]]},"reference":[{"key":"38_CR1","doi-asserted-by":"crossref","unstructured":"Kramer, O.: Dimensionalty reduction by unsupervised nearest neighbor regression. In: International Conference on Machine Learning and Applications (ICMLA), pp. 275\u2013278. IEEE (2011)","DOI":"10.1109\/ICMLA.2011.55"},{"key":"38_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/978-3-642-33347-7_9","volume-title":"KI 2012: Advances in Artificial Intelligence","author":"O Kramer","year":"2012","unstructured":"Kramer, O.: Unsupervised nearest neighbors with kernels. In: Glimm, B., Kr\u00fcger, A. (eds.) KI 2012: Advances in Artificial Intelligence. LNCS, vol. 7526, pp. 97\u2013106. Springer, Heidelberg (2012)"},{"key":"38_CR3","doi-asserted-by":"publisher","first-page":"1379","DOI":"10.1109\/TPAMI.2005.183","volume":"27","author":"P Meinicke","year":"2005","unstructured":"Meinicke, P., Klanke, S., Memisevic, R., Ritter, H.: Principal surfaces from unsupervised kernel regression. IEEE Trans. Pattern Anal. Mach. Intell. 27, 1379\u20131391 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"38_CR4","first-page":"179","volume":"1","author":"AJ Smola","year":"2001","unstructured":"Smola, A.J., Mika, S., Sch\u00f6lkopf, B., Williamson, R.C.: Regularized principal manifolds. J. Mach. Learn. Res. 1, 179\u2013209 (2001)","journal-title":"J. Mach. Learn. Res."},{"key":"38_CR5","first-page":"1783","volume":"6","author":"ND Lawrence","year":"2005","unstructured":"Lawrence, N.D.: Probabilistic non-linear principal component analysis with gaussian process latent variable models. J. Mach. Learn. Res. 6, 1783\u20131816 (2005)","journal-title":"J. Mach. Learn. Res."},{"key":"38_CR6","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1002\/aic.690410612","volume":"41","author":"S Tan","year":"1995","unstructured":"Tan, S., Mavrovouniotis, M.: Reducing data dimensionality through optimizing neural network inputs. AIChE J. 41, 1471\u20131479 (1995)","journal-title":"AIChE J."},{"key":"38_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-32650-9_1","volume-title":"Swarm Intelligence","author":"O Kramer","year":"2012","unstructured":"Kramer, O.: A particle swarm embedding algorithm for nonlinear dimensionality reduction. In: Dorigo, M., Birattari, M., Blum, C., Christensen, A.L., Engelbrecht, A.P., Gro\u00df, R., St\u00fctzle, T. (eds.) ANTS 2012. LNCS, vol. 7461, pp. 1\u201312. Springer, Heidelberg (2012)"},{"key":"38_CR8","doi-asserted-by":"crossref","unstructured":"Nourashrafeddin, S., Arnold, D., Milios, E.E.: An evolutionary subspace clustering algorithm for high-dimensional data. In: Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO), pp. 1497\u20131498 (2012)","DOI":"10.1145\/2330784.2331011"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Vahdat, A., Heywood, M.I., Zincir-Heywood, A.N.: Bottom-up evolutionary subspace clustering. In: IEEE Congress on Evolutionary Computation, pp. 1\u20138 (2010)","DOI":"10.1109\/CEC.2010.5585962"},{"key":"38_CR10","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1137\/1110024","volume":"10","author":"E Nadaraya","year":"1964","unstructured":"Nadaraya, E.: On estimating regression. Theory Probab. Appl. 10, 186\u2013190 (1964)","journal-title":"Theory Probab. Appl."},{"key":"38_CR11","unstructured":"Rechenberg, I.: Cybernetic solution path of an experimental problem. In: Ministry of Aviation, UK, Royal Aircraft Establishment (1965)"},{"key":"38_CR12","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1016\/j.neucom.2006.11.015","volume":"70","author":"S Klanke","year":"2007","unstructured":"Klanke, S., Ritter, H.: Variants of unsupervised kernel regression: general cost functions. Neurocomputing 70, 1289\u20131303 (2007)","journal-title":"Neurocomputing"},{"key":"38_CR13","volume-title":"Numerical Optimization","author":"J Nocedal","year":"2000","unstructured":"Nocedal, J., Wright, S.J.: Numerical Optimization. Springer, New York (2000)"},{"key":"38_CR14","series-title":"Springer Series in Statistics","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-1904-8","volume-title":"Principal Component Analysis","author":"IT Jolliffe","year":"1986","unstructured":"Jolliffe, I.T.: Principal Component Analysis. Springer Series in Statistics. Springer, New York (1986)"},{"key":"38_CR15","doi-asserted-by":"publisher","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","volume":"290","author":"JB Tenenbaum","year":"2000","unstructured":"Tenenbaum, J.B., Silva, V.D., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290, 2319\u20132323 (2000)","journal-title":"Science"},{"key":"38_CR16","doi-asserted-by":"publisher","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","volume":"290","author":"ST Roweis","year":"2000","unstructured":"Roweis, S.T., Saul, L.K.: Nonlinear dimensionality reduction by locally linear embedding. SCIENCE 290, 2323\u20132326 (2000)","journal-title":"SCIENCE"},{"key":"38_CR17","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Lecture Notes in Computer Science","Applications of Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-16549-3_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,15]],"date-time":"2023-02-15T06:32:32Z","timestamp":1676442752000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-16549-3_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319165486","9783319165493"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-16549-3_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"17 March 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}