{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T12:21:57Z","timestamp":1761740517965},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2013,5,8]],"date-time":"2013-05-08T00:00:00Z","timestamp":1367971200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Comput Stat"],"published-print":{"date-parts":[[2013,12]]},"DOI":"10.1007\/s00180-013-0420-y","type":"journal-article","created":{"date-parts":[[2013,5,7]],"date-time":"2013-05-07T05:53:58Z","timestamp":1367906038000},"page":"2599-2619","source":"Crossref","is-referenced-by-count":19,"title":["Benchmarking local classification methods"],"prefix":"10.1007","volume":"28","author":[{"given":"Bernd","family":"Bischl","sequence":"first","affiliation":[]},{"given":"Julia","family":"Schiffner","sequence":"additional","affiliation":[]},{"given":"Claus","family":"Weihs","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,5,8]]},"reference":[{"key":"420_CR1","doi-asserted-by":"crossref","unstructured":"Alpaydin E, Jordan M (1996) Local linear perceptrons for classification. IEEE Trans Neural Netw 7(3): 788\u2013792","DOI":"10.1109\/72.501737"},{"key":"420_CR2","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1023\/A:1006559212014","volume":"11","author":"C Atkeson","year":"1997","unstructured":"Atkeson C, Moore A, Schaal S (1997) Locally weighted learning. Artif Intell Rev 11:11\u201373","journal-title":"Artif Intell Rev"},{"key":"420_CR3","doi-asserted-by":"crossref","unstructured":"Binder H, Schumacher M (2008) Adapting prediction error estimates for biased complexity selection in high-dimensional bootstrap samples. Stat Appl Genet Mol Biol 7(1):Article 12","DOI":"10.2202\/1544-6115.1346"},{"key":"420_CR4","unstructured":"Bischl B (2010) mlr: Machine learning in R. http:\/\/mlr.r-forge.r-project.org\/"},{"key":"420_CR5","volume-title":"Pattern recognition and machine learning","author":"CM Bishop","year":"2006","unstructured":"Bishop CM (2006) Pattern recognition and machine learning. Information Science and Statistics, Springer, New York"},{"key":"420_CR6","doi-asserted-by":"crossref","unstructured":"Blanzieri E, Melgani F (2006) An adaptive SVM nearest neighbor classifier for remotely sensed imagery In: Proceedings of the IEEE international conference on geoscience and remote sensing, symposium (IGARSS-2006), pp 3931\u20133934","DOI":"10.1109\/IGARSS.2006.1008"},{"key":"420_CR7","doi-asserted-by":"crossref","unstructured":"Brailovsky V, Barzilay O, Shahave R (1999) On global, local, mixed and neighborhood kernels for support vector machines. Pattern Recognit Lett 20:1183\u20131190","DOI":"10.1016\/S0167-8655(99)00086-0"},{"issue":"1","key":"420_CR8","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L (2001) Random forests. Mach Learn 45(1):5\u201332","journal-title":"Mach Learn"},{"key":"420_CR9","unstructured":"Breiman L, Friedman JH, Olshen RA, Stone CJ (1984) Classification and regression trees. Wadsworth, Belmont"},{"key":"420_CR10","doi-asserted-by":"crossref","unstructured":"Chen D, Burrell P (2001) On decision-boundary-based approaches for structure selection of multilayered neural nets. In: Proceedings of the international conferences on info-tech and info-net 2001, ICII 2001, vol 3, pp 486\u2013490","DOI":"10.1109\/ICII.2001.983104"},{"issue":"4","key":"420_CR11","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1109\/TKDE.2009.116","volume":"22","author":"H Cheng","year":"2010","unstructured":"Cheng H, Tan PN, Jin R (2010) Efficient algorithm for localized support vector machine. IEEE Trans Knowl Data Eng 22(4):537\u2013549","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"420_CR12","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-98135-2","volume-title":"principles and theory for data mining and machine learning","author":"B Clarke","year":"2009","unstructured":"Clarke B, Fokou\u00e9 E, Zhang H (2009) principles and theory for data mining and machine learning. Springer Series in Statistics, Springer, New York"},{"key":"420_CR13","first-page":"133","volume-title":"Advances in data analysis, Studies in Classification, data analysis, and knowledge organization","author":"I Czogiel","year":"2007","unstructured":"Czogiel I, Luebke K, Zentgraf M, Weihs C (2007) Localized linear discriminant analysis. In: Decker R, Lenz H (eds) Advances in data analysis, Studies in Classification, data analysis, and knowledge organization, vol 34. Springer, Berlin, pp 133\u2013140"},{"key":"420_CR14","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-0711-5","volume-title":"A probabilistic theory of pattern recognition","author":"L Devroye","year":"1996","unstructured":"Devroye L, Gy\u00f6rfi L, Lugosi G (1996) A probabilistic theory of pattern recognition. Applications of mathematics, Springer, New York"},{"key":"420_CR15","unstructured":"Dimitriadou E, Hornik K, Leisch F, Meyer D, Weingessel A (2010) e1071: Misc functions of the Department of Statistics (e1071), TU Wien"},{"key":"420_CR16","unstructured":"Eugster M, Hothorn T, Leisch F (2008) Exploratory and inferential analysis of benchmark experiments. Tech. Rep. 30, Department of Statistics, LMU M\u00fcnchen"},{"key":"420_CR17","doi-asserted-by":"crossref","unstructured":"Fix E, Hodges J (1951) Discriminatory analysis-nonparametric discrimination: consistency properties. Report 4, U.S. Airforce School of Aviation Medicine, Randolph Field, Texas","DOI":"10.1037\/e471672008-001"},{"issue":"18","key":"420_CR18","doi-asserted-by":"crossref","first-page":"3549","DOI":"10.1080\/014311699211192","volume":"20","author":"G Foody","year":"1999","unstructured":"Foody G (1999) The significance of border training patterns in classification by a feedforward neural network using back propagation learning. Int J Remote Sens 20(18):3549\u20133562","journal-title":"Int J Remote Sens"},{"key":"420_CR19","unstructured":"Frank A, Asuncion A, University of California, Irvine, School of Information and Computer Sciences (2010) UCI machine learning repository"},{"key":"420_CR20","doi-asserted-by":"crossref","unstructured":"G\u00f6nen M, Alpaydin E (2008) Localized multiple kernel learning. In: Proceedings of the 25th international conference on machine learning (ICML \u201908), pp 352\u2013359","DOI":"10.1145\/1390156.1390201"},{"issue":"2","key":"420_CR21","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1198\/0003130031423","volume":"57","author":"DJ Hand","year":"2003","unstructured":"Hand DJ, Vinciotti V (2003) Local versus global models for classification problems: fitting models where it matters. Am Stat 57(2):124\u2013131","journal-title":"Am Stat"},{"issue":"6","key":"420_CR22","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1109\/34.506411","volume":"18","author":"T Hastie","year":"1996","unstructured":"Hastie T, Tibshirani R (1996) Discriminant adaptive nearest neighbor classification. IEEE Trans Pattern Anal Mach Intell 18(6):607\u2013616","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"420_CR23","doi-asserted-by":"crossref","unstructured":"Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning. Data mining, inference, and prediction. Springer Series in Statistics, Springer, New York","DOI":"10.1007\/978-0-387-84858-7"},{"key":"420_CR24","unstructured":"S original by Hastie T, Tibshirani R, Original R port by Leisch F, Hornik K, Ripley B (2009) mda: Mixture and flexible discriminant analysis"},{"key":"420_CR25","doi-asserted-by":"crossref","unstructured":"Hothorn T, Leisch F, Zeileis A, Hornik K (2005) The design and analysis of benchmark experiments. J Comput Graph Stat 14:675\u2013699","DOI":"10.1198\/106186005X59630"},{"key":"420_CR26","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1198\/1061860032049","volume":"12","author":"H Kim","year":"2003","unstructured":"Kim H, Loh WY (2003) Classification trees with bivariate linear discriminant node models. J Comput Graph Stat 12:512\u2013530","journal-title":"J Comput Graph Stat"},{"key":"420_CR27","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-88163-3","volume-title":"Self-organization and associative memory","author":"T Kohonen","year":"1989","unstructured":"Kohonen T (1989) Self-organization and associative memory. Springer, Berlin"},{"key":"420_CR28","unstructured":"Kotsiantis S, Pintelas P (2004) Local boosting of weak classifiers. In: Proceedings of the IEEE 4th international conference on intelligent systems design and applications (ISDA 2004), pp 175\u2013180"},{"key":"420_CR29","doi-asserted-by":"crossref","unstructured":"Landwehr N, Hall M, Frank E (2005) Logistic model trees. Mach Learn 59:161\u2013205","DOI":"10.1007\/s10994-005-0466-3"},{"key":"420_CR30","unstructured":"Leisch F, Dimitriadou E (2010) mlbench: Machine learning benchmark problems. R package version 2.0-0"},{"issue":"3","key":"420_CR31","first-page":"18","volume":"2","author":"A Liaw","year":"2002","unstructured":"Liaw A, Wiener M (2002) Classification and regression by randomForest. R News 2(3):18\u201322","journal-title":"R News"},{"key":"420_CR32","doi-asserted-by":"crossref","unstructured":"Lyhyaoui A, Martinez M, Mora I, Vaquez M, Sancho J, Figueiras-Vidal A (1999) Sample selection via clustering to construct support vector-like classifiers. IEEE Trans Neural Netw 10(6):1474\u20131481","DOI":"10.1109\/72.809092"},{"issue":"3","key":"420_CR33","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1023\/A:1024068626366","volume":"52","author":"C Nadeau","year":"2003","unstructured":"Nadeau C, Bengio Y (2003) Inference for the generalization error. Mach Learn 52(3):239\u2013281","journal-title":"Mach Learn"},{"key":"420_CR34","unstructured":"R Development Core Team (2010) R: A language and environment for statistical computing"},{"issue":"2\u20133","key":"420_CR35","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1023\/A:1007448122119","volume":"30","author":"L Saitta","year":"1998","unstructured":"Saitta L, Neri F (1998) Learning in the \u201creal world\u201d. Mach Learn 30(2\u20133):133\u2013163","journal-title":"Mach Learn"},{"key":"420_CR36","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/978-3-642-24466-7_6","volume-title":"Challenges at the interface of data analysis, computer science, and optimization, Studies in Classification, data analysis, and knowledge organization","author":"J Schiffner","year":"2012","unstructured":"Schiffner J, Bischl B, Weihs C (2012) Bias-variance analysis of local classification methods. In: Gaul WA, Geyer-Schulz A, Schmidt-Thieme L, Kunze J (eds) Challenges at the interface of data analysis, computer science, and optimization, Studies in Classification, data analysis, and knowledge organization, vol 43. Springer, Berlin, pp 49\u201357"},{"key":"420_CR37","unstructured":"Schliep K, Hechenbichler K (2010) kknn: Weighted k-nearest neighbors"},{"key":"420_CR38","unstructured":"Seewald AK, Petrak J, Widmer G (2001) Hybrid decision tree learners with alternative leaf classifiers: an empirical study. Proceedings of the fourteenth international Florida artificial intelligence research society conference. AAAI Press, pp 407\u2013411"},{"key":"420_CR39","first-page":"1883","volume":"11","author":"N Segata","year":"2010","unstructured":"Segata N, Blanzieri E (2010a) Fast and scalable local kernel machines. J Mach Learn Res 11:1883\u20131926","journal-title":"J Mach Learn Res"},{"key":"420_CR40","doi-asserted-by":"crossref","unstructured":"Segata N, Blanzieri E (2010b) Operators for transforming kernels into quasi-local kernels that improve SVM accuracy. J Intell Inform Syst 1\u201332","DOI":"10.1007\/s10844-010-0131-6"},{"key":"420_CR41","volume-title":"Lecture notes in data mining","author":"Z Shen","year":"2006","unstructured":"Shen Z (2006) Classification: distance-based algorithms. In: Berry M, Browne M (eds) Lecture notes in data mining. World Scientific Publishing, Singapore"},{"key":"420_CR42","first-page":"97","volume-title":"Intelligent data engineering and automated learning-IDEAL 2002, Lecture Notes in Computer Science","author":"H Shin","year":"2002","unstructured":"Shin H, Cho S (2002) Pattern selection for support vector classifiers. In: Yin H, Allinson N, Freeman R, Keane J, Hubbard S (eds) Intelligent data engineering and automated learning-IDEAL 2002, Lecture Notes in Computer Science, vol 2412. Springer, Berlin, pp 97\u2013103"},{"key":"420_CR43","doi-asserted-by":"crossref","unstructured":"Simon R (2007) Fundamentals of data mining in genomics and proteomics, chap resampling strategies for model assessment and selection, Springer, USA pp 173\u2013186","DOI":"10.1007\/978-0-387-47509-7_8"},{"key":"420_CR44","doi-asserted-by":"crossref","unstructured":"Smits G, Jordaan E (2002) Improved SVM regression using mixtures of kernels. In: Proceedings of the international joint conference on, neural networks, vol 3, pp 2785\u20132790","DOI":"10.1109\/IJCNN.2002.1007589"},{"key":"420_CR45","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/978-3-540-24580-3_28","volume":"2902","author":"C Soares","year":"2003","unstructured":"Soares C (2003) Is the UCI repository useful for data mining? Prog Artif Intell 2902:209\u2013223","journal-title":"Prog Artif Intell"},{"key":"420_CR46","first-page":"1027","volume":"8","author":"M Sugiyama","year":"2007","unstructured":"Sugiyama M (2007) Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis. J Mach Learn Res 8:1027\u20131061","journal-title":"J Mach Learn Res"},{"key":"420_CR47","doi-asserted-by":"crossref","unstructured":"Szepannek G, Schiffner J, Wilson J, Weihs C (2008) Local modelling in classification. In: Perner P (ed) Advances in data mining. Medical applications, e-commerce, marketing, and theoretical aspects, Lecture Notes in Computer Science, vol 5077. Springer, Berlin, pp 153\u2013164","DOI":"10.1007\/978-3-540-70720-2_12"},{"key":"420_CR48","unstructured":"Therneau T, Atkinson B, R port by Ripley B (2010) rpart: Recursive partitioning"},{"key":"420_CR49","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s11222-005-1305-x","volume":"15","author":"G Tutz","year":"2005","unstructured":"Tutz G, Binder H (2005) Localized classification. Stat Comput 15:155\u2013166","journal-title":"Localized classification. Stat Comput"},{"key":"420_CR50","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-21706-2","volume-title":"Modern applied statistics with S","author":"WN Venables","year":"2002","unstructured":"Venables WN, Ripley BD (2002) Modern applied statistics with S. Springer, New York"},{"key":"420_CR51","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/3-540-28397-8_36","volume-title":"Data analysis and decision support, Studies in Classification, data analysis, and knowledge organization","author":"C Weihs","year":"2005","unstructured":"Weihs C, Ligges U, Luebke K, Raabe N (2005) klaR analyzing german business cycles. In: Baier D, Decker R, Schmidt-Thieme L (eds) Data analysis and decision support, Studies in Classification, data analysis, and knowledge organization, vol 30. Springer, Berlin, pp 335\u2013343"},{"key":"420_CR52","doi-asserted-by":"crossref","unstructured":"Zeileis A, Hothorn T, Hornik K (2008) Model-based recursive partitioning. J Comput Graph Stat 17(2): 492\u2013514","DOI":"10.1198\/106186008X319331"},{"key":"420_CR53","doi-asserted-by":"crossref","first-page":"1928","DOI":"10.1016\/j.csda.2007.06.015","volume":"52","author":"CX Zhang","year":"2008","unstructured":"Zhang CX, Zhang JS (2008) A local boosting algorithm for solving classification problems. Comput Stat Data Anal 52:1928\u20131941","journal-title":"Comput Stat Data Anal"},{"key":"420_CR54","unstructured":"Zhang H, Berg A, Maire M, Malik J (2006) SVM-KNN: Discriminative nearest neighbor classification for visual category recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR 2006), vol 2"},{"key":"420_CR55","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1007\/11539087_76","volume-title":"Advances in natural computation, Lecture Notes in Computer Science","author":"Yf Zhu","year":"2005","unstructured":"Zhu Yf, Tian Lf, Mao Zy, Wei LfT (2005) Mixtures of kernels for SVM modeling. In: Wang L, Chen K, Ong Y (eds) Advances in natural computation, Lecture Notes in Computer Science, vol 3610. Springer, Berlin, pp 601\u2013607"}],"container-title":["Computational Statistics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-013-0420-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00180-013-0420-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-013-0420-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,13]],"date-time":"2019-07-13T13:10:04Z","timestamp":1563023404000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00180-013-0420-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,5,8]]},"references-count":55,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2013,12]]}},"alternative-id":["420"],"URL":"https:\/\/doi.org\/10.1007\/s00180-013-0420-y","relation":{},"ISSN":["0943-4062","1613-9658"],"issn-type":[{"value":"0943-4062","type":"print"},{"value":"1613-9658","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,5,8]]}}}