{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:35:14Z","timestamp":1725518114513},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540875581"},{"type":"electronic","value":"9783540875598"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-87559-8_3","type":"book-chapter","created":{"date-parts":[[2008,8,28]],"date-time":"2008-08-28T16:06:31Z","timestamp":1219939591000},"page":"21-31","source":"Crossref","is-referenced-by-count":0,"title":["A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets"],"prefix":"10.1007","author":[{"given":"Gianluca","family":"Bontempi","sequence":"first","affiliation":[]},{"given":"Patrick E.","family":"Meyer","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"3_CR1","doi-asserted-by":"publisher","first-page":"1157","DOI":"10.1162\/153244303322753616","volume":"3","author":"I. Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. Journal of Machine Learning Research\u00a03, 1157\u20131182 (2003)","journal-title":"Journal of Machine Learning Research"},{"issue":"19","key":"3_CR2","doi-asserted-by":"publisher","first-page":"2507","DOI":"10.1093\/bioinformatics\/btm344","volume":"23","author":"Y. Saeys","year":"2007","unstructured":"Saeys, Y., Inza, I., Larranaga, P.: A review of feature selection techniques in bioinformatics. Bioinformatics\u00a023(19), 2507\u20132517 (2007)","journal-title":"Bioinformatics"},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"10101","DOI":"10.1073\/pnas.97.18.10101","volume":"97","author":"O. Alter","year":"2000","unstructured":"Alter, O., Brown, P., Botstein, D.: Singular value decomposition for genome-wide expression data processing and modeling. Proceedings of the National Academy of Sciences\u00a097, 10101\u201310106 (2000)","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"1-2","key":"3_CR4","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","volume":"97","author":"R. Kohavi","year":"1997","unstructured":"Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artificial Intelligence\u00a097(1-2), 273\u2013324 (1997)","journal-title":"Artificial Intelligence"},{"key":"3_CR5","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1155\/JBB.2005.147","volume":"2","author":"D. Ghosh","year":"2005","unstructured":"Ghosh, D., Chinnaiyan, A.M.: Classification and selection of biomarkers in genomic data using lasso. J. Biomed. Biotechnol.\u00a02, 147\u2013154 (2005)","journal-title":"J. Biomed. Biotechnol."},{"issue":"2","key":"3_CR6","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1023\/A:1007612503587","volume":"41","author":"D.A. Bell","year":"2000","unstructured":"Bell, D.A., Wang, H.: A formalism for relevance and its application in feature subset selection. Machine Learning\u00a041(2), 175\u2013195 (2000)","journal-title":"Machine Learning"},{"key":"3_CR7","first-page":"1205","volume":"5","author":"L. Yu","year":"2004","unstructured":"Yu, L., Liu, H.: Efficient feature selection via analysis of relevance and redundancy. Journal of Machine Learning Research\u00a05, 1205\u20131224 (2004)","journal-title":"Journal of Machine Learning Research"},{"key":"3_CR8","unstructured":"Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J.: Classification and Regression Trees. Wadsworth International Group, Belmont (1984)"},{"key":"3_CR9","unstructured":"Peng, H., Long, F., Ding, C.: Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)"},{"key":"3_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/11732242_9","volume-title":"Applications of Evolutionary Computing","author":"P.E. Meyer","year":"2006","unstructured":"Meyer, P.E., Bontempi, G.: On the use of variable complementarity for feature selection in cancer classification. In: Rothlauf, F., Branke, J., Cagnoni, S., Costa, E., Cotta, C., Drechsler, R., Lutton, E., Machado, P., Moore, J.H., Romero, J., Smith, G.D., Squillero, G., Takagi, H. (eds.) EvoWorkshops 2006. LNCS, vol.\u00a03907, pp. 91\u2013102. Springer, Heidelberg (2006)"},{"key":"3_CR11","unstructured":"Wolpert, D.H., Kohavi, R.: Bias plus variance decomposition for zero-one loss functions. In: Prooceedings of the 13th International Conference on Machine Learning, pp. 275\u2013283 (1996)"},{"key":"3_CR12","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.: A Probabilistic Theory of Pattern Recognition. Springer, Heidelberg (1996)"},{"key":"3_CR13","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-21606-5","volume-title":"The elements of statistical learning","author":"T. Hastie","year":"2001","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The elements of statistical learning. Springer, Heidelberg (2001)"},{"key":"3_CR14","volume-title":"Methodologies of Pattern Recognition","author":"T.M. Cover.","year":"1969","unstructured":"Cover., T.M.: Learning in Pattern Recognition. In: Methodologies of Pattern Recognition. Academic Press, London (1969)"},{"issue":"4","key":"3_CR15","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1109\/TIT.1973.1055049","volume":"19","author":"K. Fukunaga","year":"1973","unstructured":"Fukunaga, K., Kessel, D.L.: Nonparametric bayes error estimation using unclassified samples. IEEE Transactions on Information Theory\u00a019(4), 434\u2013440 (1973)","journal-title":"IEEE Transactions on Information Theory"},{"key":"3_CR16","volume-title":"Pattern Classification and Scene Analysis","author":"R.O. Duda","year":"1976","unstructured":"Duda, R.O., Hart, P.E.: Pattern Classification and Scene Analysis. Wiley, Chichester (1976)"},{"key":"3_CR17","volume-title":"Elements of Information Theory","author":"T.M. Cover","year":"1990","unstructured":"Cover, T.M., Thomas, J.A.: Elements of Information Theory. John Wiley, New York (1990)"},{"issue":"15","key":"3_CR18","doi-asserted-by":"publisher","first-page":"2429","DOI":"10.1093\/bioinformatics\/bth267","volume":"20","author":"T. Li","year":"2004","unstructured":"Li, T., Zhang, C., Ogihara, M.: A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression. Bioinformatics\u00a020(15), 2429\u20132437 (2004)","journal-title":"Bioinformatics"},{"issue":"2","key":"3_CR19","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.stamet.2005.02.003","volume":"2","author":"S. Dudoit","year":"2005","unstructured":"Dudoit, S., van der Laan, M.J.: Asymptotics of cross-validated risk estimation in estimator selection and performance assessment. Statistical Methodology\u00a02(2), 131\u2013154 (2005)","journal-title":"Statistical Methodology"},{"key":"3_CR20","volume-title":"NIPS","author":"V. Tresp","year":"1995","unstructured":"Tresp, V., Taniguchi, M.: Combining estimators using non-constant weighting functions. In: NIPS. MIT Press, Cambridge (1995)"},{"key":"3_CR21","first-page":"375","volume-title":"NIPS 11","author":"M. Birattari","year":"1999","unstructured":"Birattari, M., Bontempi, G., Bersini, H.: Lazy learning meets the recursive least-squares algorithm. In: Kearns, M.S., Solla, S.A., Cohn, D.A. (eds.) NIPS 11, pp. 375\u2013381. MIT Press, Cambridge (1999)"},{"key":"3_CR22","doi-asserted-by":"publisher","first-page":"6562","DOI":"10.1073\/pnas.102102699","volume":"99","author":"C. Ambroise","year":"2002","unstructured":"Ambroise, C., McLachlan, G.: Selection bias in gene extraction on the basis of microarray gene-expression data. PNAS\u00a099, 6562\u20136566 (2002)","journal-title":"PNAS"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks - ICANN 2008"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-87559-8_3.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T12:01:41Z","timestamp":1619524901000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-87559-8_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540875581","9783540875598"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-87559-8_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}