{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T05:17:28Z","timestamp":1770527848389,"version":"3.49.0"},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642042768","type":"print"},{"value":"9783642042775","type":"electronic"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"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":[[2009]]},"DOI":"10.1007\/978-3-642-04277-5_13","type":"book-chapter","created":{"date-parts":[[2009,10,1]],"date-time":"2009-10-01T08:49:52Z","timestamp":1254386992000},"page":"125-134","source":"Crossref","is-referenced-by-count":8,"title":["Classification Based on Combination of Kernel Density Estimators"],"prefix":"10.1007","author":[{"given":"Mateusz","family":"Kobos","sequence":"first","affiliation":[]},{"given":"Jacek","family":"Ma\u0144dziuk","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"13_CR1","volume-title":"Pattern Classification","author":"R.O. Duda","year":"2000","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley-Interscience Publication, Hoboken (2000)","edition":"2"},{"key":"13_CR2","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1023\/A:1007511322260","volume":"36","author":"P. Smyth","year":"1999","unstructured":"Smyth, P., Wolpert, D.: Linearly combining density estimators via stacking. Machine Learning\u00a036, 59\u201383 (1999)","journal-title":"Machine Learning"},{"key":"13_CR3","first-page":"95","volume":"11","author":"D.J. Marchette","year":"1996","unstructured":"Marchette, D.J., Priebe, C.E., Rogers, G.W., Solka, J.L.: Filtered kernel density estimation. Computational Statistics\u00a011, 95\u2013112 (1996)","journal-title":"Computational Statistics"},{"key":"13_CR4","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/s10260-005-0110-1","volume":"14","author":"M. Marzio Di","year":"2005","unstructured":"Di Marzio, M., Taylor, C.C.: On boosting kernel density methods for multivariate data: density estimation and classification. Statistical Methods and Applications\u00a014, 163\u2013178 (2005)","journal-title":"Statistical Methods and Applications"},{"key":"13_CR5","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1109\/72.701177","volume":"9","author":"D. Ormoneit","year":"1998","unstructured":"Ormoneit, D., Tresp, V.: Averaging, maximum penalized likelihood and bayesian estimation for improving gaussian mixture probability density estimates. IEEE Transactions on Neural Networks\u00a09, 639\u2013650 (1998)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"13_CR6","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/S0167-9473(01)00066-4","volume":"38","author":"G. Ridgeway","year":"2002","unstructured":"Ridgeway, G.: Looking for lumps: boosting and bagging for density estimation. Computational Statsistics and Data Analysis\u00a038, 379\u2013392 (2002)","journal-title":"Computational Statsistics and Data Analysis"},{"key":"13_CR7","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1093\/biomet\/85.4.823","volume":"85","author":"C.A. Cooley","year":"1998","unstructured":"Cooley, C.A., MacEachern, S.N.: Classification via kernel product estimators. Biometrika\u00a085, 823\u2013833 (1998)","journal-title":"Biometrika"},{"key":"13_CR8","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1198\/004017005000000391","volume":"48","author":"A.K. Ghosh","year":"2006","unstructured":"Ghosh, A.K., Chaudhuri, P., Sengupta, D.: Classification using kernel density estimates: Multiscale analysis and visualization. Technometrics\u00a048, 120\u2013132 (2006)","journal-title":"Technometrics"},{"key":"13_CR9","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316849","volume-title":"Multivariate Density Estimation: Theory, Practice, and Visualization","author":"D.W. Scott","year":"1992","unstructured":"Scott, D.W.: Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley, New York (1992)"},{"key":"13_CR10","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1023\/A:1007608224229","volume":"40","author":"T.S. Lim","year":"2000","unstructured":"Lim, T.S., Loh, W.Y., Shih, Y.S.: A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning\u00a040, 203\u2013228 (2000)","journal-title":"Machine Learning"},{"key":"13_CR11","first-page":"1","volume":"23","author":"O. Mangasarian","year":"1990","unstructured":"Mangasarian, O., Wolberg, W.: Cancer diagnosis via linear programming. Siam News\u00a023, 1\u201318 (1990)","journal-title":"Siam News"},{"key":"13_CR12","unstructured":"Asuncion, A., Newman, D.: UCI Machine Learning Repository (2007)"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Ripley, B.: Pattern recognition and neural networks datasets collection (1996), http:\/\/www.stats.ox.ac.uk\/pub\/PRNN\/","DOI":"10.1017\/CBO9780511812651"},{"key":"13_CR14","unstructured":"R Development Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2008)"},{"key":"13_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1007\/978-3-540-87536-9_14","volume-title":"Artificial Neural Networks - ICANN 2008","author":"C. Dendek","year":"2008","unstructured":"Dendek, C., Ma\u0144dziuk, J.: Improving performance of a binary classifier by training set selection. In: K\u016frkov\u00e1, V., Neruda, R., Koutn\u00edk, J. (eds.) ICANN 2008, Part I. LNCS, vol.\u00a05163, pp. 128\u2013135. Springer, Heidelberg (2008)"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks \u2013 ICANN 2009"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-04277-5_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T19:55:34Z","timestamp":1558554934000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-04277-5_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642042768","9783642042775"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-04277-5_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009]]}}}