{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T16:49:31Z","timestamp":1725468571480},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540379515"},{"type":"electronic","value":"9783540379522"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11829898_26","type":"book-chapter","created":{"date-parts":[[2006,8,25]],"date-time":"2006-08-25T12:55:06Z","timestamp":1156510506000},"page":"286-297","source":"Crossref","is-referenced-by-count":0,"title":["Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles"],"prefix":"10.1007","author":[{"given":"Hans A.","family":"Kestler","sequence":"first","affiliation":[]},{"given":"Wolfgang","family":"Lindner","sequence":"additional","affiliation":[]},{"given":"Andr\u00e9","family":"M\u00fcller","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"26_CR1","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/0004-3702(88)90002-1","volume":"36","author":"D. Haussler","year":"1988","unstructured":"Haussler, D.: Quantifying inductive bias: AI learning algorithms and Valiant\u2019s learning framework. Artificial Intelligence\u00a036, 177\u2013221 (1988)","journal-title":"Artificial Intelligence"},{"key":"26_CR2","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1162\/jmlr.2003.3.4-5.723","volume":"3","author":"M. Marchand","year":"2002","unstructured":"Marchand, M., Shawe-Taylor, J.: The set covering machine. Journal of Machine Learning Research\u00a03, 723\u2013746 (2002)","journal-title":"Journal of Machine Learning Research"},{"key":"26_CR3","unstructured":"Littlestone, N., Warmuth, M.: Relating data compression and learnability. Technical report, University of California, Santa Cruz (1986)"},{"key":"26_CR4","unstructured":"Marchand, M., Shah, M., Shawe-Taylor, J., Sokolova, M.: The set covering machine with data-dependent half-spaces. In: Proceedings of the Twentieth International Conference on Machine Learning (ICML), pp. 520\u2013527 (2003)"},{"key":"26_CR5","first-page":"881","volume-title":"Advances in Neural Information Processing Systems","author":"M. Marchand","year":"2005","unstructured":"Marchand, M., Shah, M.: PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data. In: Saul, L.K., Weiss, Y., Bottou, L. (eds.) Advances in Neural Information Processing Systems, vol.\u00a017, pp. 881\u2013888. MIT Press, Cambridge (2005)"},{"key":"26_CR6","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1023\/A:1007618624809","volume":"37","author":"D. McAllester","year":"1999","unstructured":"McAllester, D.: Some PAC-Bayesian theorems. Machine Learning\u00a037, 355\u2013363 (1999)","journal-title":"Machine Learning"},{"key":"26_CR7","volume-title":"Computers and Intractability \u2013 A Guide to the Theory of NP-Completeness","author":"M. Garey","year":"1979","unstructured":"Garey, M., Johnson, D.: Computers and Intractability \u2013 A Guide to the Theory of NP-Completeness. Freeman and Company, New York (1979)"},{"key":"26_CR8","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/3897.001.0001","volume-title":"An Introduction to Computational Learning Theory","author":"M. Kearns","year":"1994","unstructured":"Kearns, M., Vazirani, U.: An Introduction to Computational Learning Theory. MIT Press, Cambridge (1994)"},{"key":"26_CR9","volume-title":"Statistical Learning Theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V.: Statistical Learning Theory. Wiley, Chichester (1998)"},{"key":"26_CR10","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1145\/76359.76371","volume":"36","author":"A. Blumer","year":"1989","unstructured":"Blumer, A., Ehrenfeucht, A., Haussler, D., Warmuth, M.K.: Learnability and the Vapnik-Chervonenkis dimension. Journal of the ACM\u00a036, 929\u2013965 (1989)","journal-title":"Journal of the ACM"},{"key":"26_CR11","doi-asserted-by":"publisher","first-page":"1926","DOI":"10.1109\/18.705570","volume":"44","author":"J. Shawe-Taylor","year":"1998","unstructured":"Shawe-Taylor, J., Bartlett, P.L., Williamson, R.C., Anthony, M.: Structural risk minimization over data-dependent hierarchies. IEEE Trans. on Information Theory\u00a044, 1926\u20131940 (1998)","journal-title":"IEEE Trans. on Information Theory"},{"key":"26_CR12","first-page":"269","volume":"21","author":"S. Floyd","year":"1995","unstructured":"Floyd, S., Warmuth, M.: Sample compression, learnability, and the Vapnik-Chervonenkis dimension. Machine Learning\u00a021, 269\u2013304 (1995)","journal-title":"Machine Learning"},{"key":"26_CR13","unstructured":"R Development Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2006) ISBN 3-900051-07-0"},{"key":"26_CR14","unstructured":"Dimitriadou, E., Hornik, K., Leisch, F., Meyer, D., Weingessel, A.: e1071: Misc Functions of the Department of Statistics (e1071), TU Wien. R package version 1.5-13 (2006)"},{"key":"26_CR15","unstructured":"Therneau,T.M.: port\u00a0by Brian Ripley <ripley@stats.ox.ac.uk>, B.A.R.: rpart: Recursive Partitioning. R package version 3.1-27 (2005)"},{"key":"26_CR16","doi-asserted-by":"publisher","first-page":"8048","DOI":"10.1158\/1078-0432.CCR-05-1274","volume":"11","author":"M. Buchholz","year":"2005","unstructured":"Buchholz, M., Kestler, H.A., Bauer, A., Bock, W., Rau, B., Leder, G., Kratzer, W., Bommer, M., Scarpa, A., Schilling, M., Adler, G., Hoheisel, J., Gress, T.: Specialized DNA arrays for the differentiation of pancreatic tumors. Clin. Cancer Res.\u00a011, 8048\u20138054 (2005)","journal-title":"Clin. Cancer Res."}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks in Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11829898_26.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T07:13:30Z","timestamp":1619507610000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11829898_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540379515","9783540379522"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/11829898_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}