{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T01:10:02Z","timestamp":1734484202254,"version":"3.30.2"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2004,2,9]],"date-time":"2004-02-09T00:00:00Z","timestamp":1076284800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowledge and Information Systems"],"published-print":{"date-parts":[[2004,9]]},"DOI":"10.1007\/s10115-003-0129-2","type":"journal-article","created":{"date-parts":[[2004,7,22]],"date-time":"2004-07-22T07:34:41Z","timestamp":1090481681000},"page":"544-569","source":"Crossref","is-referenced-by-count":0,"title":["Incorporating Background Knowledge for Better Prediction of Cycle Phases"],"prefix":"10.1007","volume":"6","author":[{"given":"Ursula","family":"Garczarek","sequence":"first","affiliation":[]},{"given":"Claus","family":"Weihs","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2004,2,9]]},"reference":[{"key":"129_CRAalen91","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.1002\/sim.4780100806","volume":"10","author":"Aalen","year":"1991","unstructured":"Aalen OO, Husebye E (1991) Statistical analysis of repeated events forming renewal processes. Stat Med 10:1227\u20131240","journal-title":"Stat Med"},{"key":"129_CRBelsey91","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1002\/sim.4780100210","volume":"10","author":"Belsey","year":"1991","unstructured":"Belsey EM, Carlson N (1991) The description of mentrual bleeding patterns: Toward fewer measures. Stat Med 10:267\u2013284","journal-title":"Stat Med"},{"key":"129_CRBengio99a","first-page":"129","volume":"2","author":"Bengio","year":"1999","unstructured":"Bengio Y (1999) Markovian models for sequential data. Neural Comput Surv 2:129\u2013162","journal-title":"Neural Comput Surv"},{"key":"129_CRBishop95b","doi-asserted-by":"crossref","unstructured":"Bishop CM (1995) Neural Networks for Pattern Recognition. Oxford University Press, Oxford, England","DOI":"10.1201\/9781420050646.ptb6"},{"key":"129_CRdiebold","doi-asserted-by":"crossref","first-page":"67","DOI":"10.2307\/2109848","volume":"78","author":"Diebold","year":"1996","unstructured":"Diebold FX, Rudebusch GD (1996) Measuring business cycles: a modern perspective. Rev Econ Stat 78:67\u201377","journal-title":"Rev Econ Stat"},{"key":"129_CRfriedman","unstructured":"Friedman JH (1996) Another approach to polychotomous classification. Technical report, Stanford Department of Statistics"},{"key":"129_CRfukunaga90","doi-asserted-by":"crossref","unstructured":"Fukunaga K (1990) Introduction to Statistical Pattern Recognitionen, 2nd edn. Academic, New York","DOI":"10.1016\/B978-0-08-047865-4.50007-7"},{"key":"129_CRmeThesis","unstructured":"Garczarek U (2002) Classification rules in standardized partition spaces. http:\/\/eldorado.uni-dortmund.de:8080\/FB5\/ls7\/forschung\/2002\/Garczarek"},{"key":"129_CRgelman95","doi-asserted-by":"crossref","unstructured":"Gelman A, Carlin JB, Stern HS, Rubin DB (1995) Bayesian Data Analysis. Chapman & Hall, New York","DOI":"10.1201\/9780429258411"},{"key":"129_CRguimaraes01","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/S0933-3657(01)00089-6","volume":"23","author":"Guimaraes","year":"2001","unstructured":"Guimaraes G, Peter J-H, Penzel T, Ultsch A (2001) A method for automated temporal knowledge acquisition applied to sleep related breathing disorders. Artif Intell Med 23:211\u2013237","journal-title":"Artif Intell Med"},{"key":"129_CRhamilton89","doi-asserted-by":"crossref","first-page":"357","DOI":"10.2307\/1912559","volume":"57","author":"Hamilton","year":"1989","unstructured":"Hamilton JD (1989) A new approach to the anylysis of nonstationarity time series and the business cycle. Econometrica 57:357\u2013384","journal-title":"Econometrica"},{"key":"129_CRhampshire90equivalence","doi-asserted-by":"crossref","unstructured":"Hampshire JBI, Pearlmutter BA (1990) Equivalence proofs for multilayer perceptron classifiers and the Bayesian discriminant function. In Proceedings of the 1990 Connectionist Models Summer School. Touretzky D, Elman J, Sejnowski T, Hinton G, eds. Morgan Kaufmann, San Mateo, CA","DOI":"10.1016\/B978-1-4832-1448-1.50023-8"},{"key":"129_CRhastieetal2001","doi-asserted-by":"crossref","unstructured":"Hastie T, Tibshirani R, Friedman J (2001) The Elements of Statistical Learning \u2013 Data Mining, Inference, and Prediction. Springer, Berlin Heidelberg New York","DOI":"10.1007\/978-0-387-21606-5"},{"key":"129_CRheilemann","unstructured":"Heilemann U, M\u00fcnch HJ (1996) West german business cycles 1963\u20131994: A multivariate discriminant analysis. In CIRET\u2013Conference in Singapore, CIRET\u2013Studien 50"},{"key":"129_CRHolm79","first-page":"65","volume":"6","author":"Holm","year":"1979","unstructured":"Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6:65\u201370","journal-title":"Scand J Stat"},{"key":"129_CRrrrr","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1080\/10618600.1996.10474713","volume":"5","author":"Ihaka","year":"1996","unstructured":"Ihaka R, Gentleman R (1996) R: A language for data analysis and graphics. J Comput Graph Stat 5(3):299\u2013314","journal-title":"J Comput Graph Stat"},{"key":"129_CRkoskinen98","unstructured":"Koskinen L, \u00d6ller L-E (1998) A hidden markov model as a dynamic bayesian classifier, with an application to forecasting business-cycle turning points. Technical report, National Institute of Economic Research 59"},{"key":"129_CRlucas87","unstructured":"Lucas RE (1987) Models of business cycles. Basil Blackwell, New York"},{"key":"129_CRmclachlan","doi-asserted-by":"crossref","unstructured":"McLachlan GJ (1992) Discriminant Analysis and Statistical Pattern Recognition. Wiley, New York","DOI":"10.1002\/0471725293"},{"key":"129_CRmeyer","first-page":"167","volume":"2","author":"Meyer","year":"1975","unstructured":"Meyer JR, Weinberg DH (1975) On the classification of economic fluctuations. Explor Econ Res 2:167\u2013202","journal-title":"Explor Econ Res"},{"key":"129_CRplatt99","unstructured":"Platt J (1999) Probabilistic outputs for support vector machines and comparison to regularized likelihood methods. In Smola BSDSAJ, Bartlett P, ed, Advances in Large Margin Classiers. MIT Press"},{"key":"129_CRplatt","first-page":"547","volume":"12","author":"Platt","year":"2000","unstructured":"Platt JC, Cristianini N, Shawe-Taylor J (2000) Large margin dags for multiclass classification. Adv Neural Inf Process Syst 12:547\u2013553","journal-title":"Adv Neural Inf Process Syst"},{"key":"129_CRrabiner93","unstructured":"Rabiner L, Juang B-H (1993) Fundamentals of Speech Recognition. Prentice Hall, NJ"},{"key":"129_CRschoelkopf95","unstructured":"Sch\u00f6lkopf B, Burges CJC, Vapnik VN (1995) Extracting support data for a given task. In Fayyad UM, Uthurusamy R, eds, Procceedings of the First Int Conf on Knowledge Discovery and Data Mining. AAAI Press, Menlo Park, pp 252\u2013257"},{"key":"129_CRschwaighofer02","unstructured":"Schwaighofer A (2002) Svm toolbox for matlab. http:\/\/www.igi.tugraz.at\/aschwaig\/software.html"},{"key":"129_CRsiegel88","unstructured":"Siegel S, Castellan Jr NJC (1988) Nonparametric Statistics for the Behavioral Sciences, 2nd edn. McGraw-Hill, New York"},{"key":"129_CRmeTR1799","unstructured":"Sondhauss UM, Weihs C (1999) Dynamic bayesian networks for classification of business cycles. Technical report, SFB 475, University of Dortmund 17\/99"},{"key":"129_CRmeTR2401","unstructured":"Sondhauss UM, Weihs C (2001a) Incorporating background knowledge for better prediction of cycle phases. Technical report, SFB 475, University of Dortmund 24\/01"},{"key":"129_CRmeTR3101","unstructured":"Sondhauss UM, Weihs C (2001b) Standardizing the comparison of partitions. Technical report, SFB 475, University of Dortmund 31\/01"},{"key":"129_CRvapnik95","doi-asserted-by":"crossref","unstructured":"Vapnik VN (1995) The Nature of Statistical Learning Theory. Springer, Berlin Heidelberg New York","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"129_CRwrt","unstructured":"Weihs C, R\u00f6hl MC, Theis W (1999) Multivariate classification of business phases. Technical report, SFB 475, University of Dortmund 26\/99"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-003-0129-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-003-0129-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-003-0129-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T00:29:15Z","timestamp":1734481755000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-003-0129-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,2,9]]},"references-count":31,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2004,9]]}},"alternative-id":["129"],"URL":"https:\/\/doi.org\/10.1007\/s10115-003-0129-2","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"type":"print","value":"0219-1377"},{"type":"electronic","value":"0219-3116"}],"subject":[],"published":{"date-parts":[[2004,2,9]]}}}