{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:31:14Z","timestamp":1743024674801,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662448441"},{"type":"electronic","value":"9783662448458"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-662-44845-8_5","type":"book-chapter","created":{"date-parts":[[2014,9,1]],"date-time":"2014-09-01T08:51:33Z","timestamp":1409561493000},"page":"66-81","source":"Crossref","is-referenced-by-count":2,"title":["Statistical Hypothesis Testing in Positive Unlabelled Data"],"prefix":"10.1007","author":[{"given":"Konstantinos","family":"Sechidis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Borja","family":"Calvo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gavin","family":"Brown","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"5_CR1","unstructured":"Agresti, A.: Categorical Data Analysis, 3rd edn. Wiley Series in Probability and Statistics. Wiley-Interscience (2013)"},{"issue":"2","key":"5_CR2","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1007\/s00180-012-0320-6","volume":"28","author":"D. Bacciu","year":"2013","unstructured":"Bacciu, D., Etchells, T., Lisboa, P., Whittaker, J.: Efficient identification of independence networks using mutual information. Computational Statistics\u00a028(2), 621\u2013646 (2013)","journal-title":"Computational Statistics"},{"key":"5_CR3","unstructured":"Blanchard, G., Lee, G., Scott, C.: Semi-Supervised Novelty Detection. Jour. of Mach. Learn. Res. 11 (March 2010)"},{"key":"5_CR4","first-page":"27","volume":"13","author":"G. Brown","year":"2012","unstructured":"Brown, G., Pocock, A., Zhao, M., Lujan, M.: Conditional likelihood maximisation: A unifying framework for information theoretic feature selection. Jour. of Mach. Learn. Res.\u00a013, 27\u201366 (2012)","journal-title":"Jour. of Mach. Learn. Res."},{"key":"5_CR5","doi-asserted-by":"publisher","first-page":"2375","DOI":"10.1016\/j.patrec.2007.08.003","volume":"28","author":"B. Calvo","year":"2007","unstructured":"Calvo, B., Larra\u00f1aga, P., Lozano, J.: Learning Bayesian classifiers from positive and unlabeled examples. Patt. Rec. Letters\u00a028, 2375\u20132384 (2007)","journal-title":"Patt. Rec. Letters"},{"key":"5_CR6","unstructured":"Cohen, J.: Statistical Power Analysis for the Behavioral Sciences, 2nd edn. Routledge Academic (1988)"},{"issue":"2","key":"5_CR7","first-page":"201","volume":"15","author":"D. Cohn","year":"1994","unstructured":"Cohn, D., Atlas, L., Ladner, R.: Improving generalization with active learning. Machine Learning\u00a015(2), 201\u2013221 (1994)","journal-title":"Machine Learning"},{"key":"5_CR8","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1007\/3-540-49730-7_9","volume-title":"Algorithmic Learning Theory","author":"F. Denis","year":"1998","unstructured":"Denis, F.: PAC learning from positive statistical queries. In: Richter, M.M., Smith, C.H., Wiehagen, R., Zeugmann, T. (eds.) ALT 1998. LNCS (LNAI), vol.\u00a01501, pp. 112\u2013126. Springer, Heidelberg (1998)"},{"key":"5_CR9","unstructured":"Denis, F., Laurent, A., Gilleron, R., Tommasi, M.: Text classification and co-training from positive and unlabeled examples. In: International Conf. on Machine Learning, Workshop: The Continuum from Labeled to Unlabeled Data (2003)"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Elkan, C., Noto, K.: Learning classifiers from only positive and unlabeled data. In: SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (2008)","DOI":"10.1145\/1401890.1401920"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Ellis, P.: The Essential Guide to Effect Sizes: Statistical Power, Meta-Analysis, and the Interpretation of Research Results. Camb. Univ. Press (2010)","DOI":"10.1017\/CBO9780511761676"},{"key":"5_CR12","first-page":"1391","volume":"99","author":"A. Gretton","year":"2010","unstructured":"Gretton, A., Gy\u00f6rfi, L.: Consistent nonparametric tests of independence. The Journal of Machine Learning Research\u00a099, 1391\u20131423 (2010)","journal-title":"The Journal of Machine Learning Research"},{"key":"5_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-35488-8","volume-title":"Feature Extraction: Foundations and Applications","author":"I. Guyon","year":"2006","unstructured":"Guyon, I., Gunn, S., Nikravesh, M., Zadeh, L.: Feature Extraction: Foundations and Applications. Springer-Verlag New York, Inc., Secaucus (2006)"},{"key":"5_CR14","unstructured":"Hahn, G., Shapiro, S.: Statistical Models in Engineering. Wiley Series on Systems Engineering and Analysis Series. John Wiley & Sons (1967)"},{"key":"5_CR15","unstructured":"Liu, B., Lee, W., Yu, P., Li, X.: Partially supervised classification of text documents. In: International Conf. on Machine Learning, pp. 387\u2013394 (2002)"},{"issue":"1","key":"5_CR16","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1186\/1756-0500-6-133","volume":"6","author":"F.G. Nielsen","year":"2013","unstructured":"Nielsen, F.G., Kooyman, M., Kensche, P., Marks, H., Stunnenberg, H., Huynen, M., et al.: The pinkthing for analysing chip profiling data in their genomic context. BMC Research Notes\u00a06(1), 133 (2013)","journal-title":"BMC Research Notes"},{"issue":"6","key":"5_CR17","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1162\/089976603321780272","volume":"15","author":"L. Paninski","year":"2003","unstructured":"Paninski, L.: Estimation of entropy and mutual information. Neural Computation\u00a015(6), 1191\u20131253 (2003)","journal-title":"Neural Computation"},{"key":"5_CR18","unstructured":"Sokal, R., Rohlf, F.: Biometry: The principles and practice of Statistics in Biological data, 3rd edn. W. H. Freeman & Co (1995)"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Yu, H., Han, J., Chang, K.: PEBL: positive example based learning for web page classification using svm. In: SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (2002)","DOI":"10.1145\/775082.775083"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-44845-8_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T20:16:03Z","timestamp":1568492163000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-44845-8_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783662448441","9783662448458"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-44845-8_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}