{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:12:43Z","timestamp":1725516763830},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540695721"},{"type":"electronic","value":"9783540697312"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-69731-2_59","type":"book-chapter","created":{"date-parts":[[2008,8,12]],"date-time":"2008-08-12T16:07:43Z","timestamp":1218557263000},"page":"609-619","source":"Crossref","is-referenced-by-count":0,"title":["Classes of Kernels for Hit Definition in Compound Screening"],"prefix":"10.1007","author":[{"given":"Karol","family":"Kozak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katarzyna","family":"Stapor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"59_CR1","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1021\/ci00063a011","volume":"29","author":"F.R. Burden","year":"1989","unstructured":"Burden, F.R.: Molecular Identification Number For Substructure Searches. Journal of Chemical Information and Computer Sciences\u00a029, 225\u2013227 (1989)","journal-title":"Journal of Chemical Information and Computer Sciences"},{"issue":"3","key":"59_CR2","first-page":"273","volume":"20","author":"C. Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Machine Learning\u00a020(3), 273\u2013297 (1995)","journal-title":"Machine Learning"},{"key":"59_CR3","unstructured":"dtp.nci.nih.gov. Dtp aids antiviral screen dataset"},{"key":"59_CR4","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1038\/nrd841","volume":"1","author":"W.R. Graham","year":"2002","unstructured":"Graham, W.R.: Virtual screening using grid computing: the screensaver project. Nature Reviews: Drug Discovery\u00a01, 551\u2013554 (2002)","journal-title":"Nature Reviews: Drug Discovery"},{"key":"59_CR5","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1002\/qsar.200410011","volume":"23","author":"H. Froehlich","year":"2004","unstructured":"Froehlich, H., Wegner, J.K., Zell, A.: QSAR Comb. Sci. \u00a023, 311\u2013318 (2004)","journal-title":"QSAR Comb. Sci."},{"key":"59_CR6","doi-asserted-by":"publisher","first-page":"2643","DOI":"10.1162\/089976603322385108","volume":"15","author":"K.-M. Chung","year":"2003","unstructured":"Chung, K.-M., Kao, W.-C., Sun, T., Wang, L.-L., Lin, C.-J.: Radious margin bounds for support vector machines with Gaussian kernel. Neural Computation\u00a015, 2643\u20132681 (2003)","journal-title":"Neural Computation"},{"key":"59_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1007\/978-3-540-71629-7_37","volume-title":"Adaptive and Natural Computing Algorithms","author":"K. Kozak","year":"2007","unstructured":"Kozak, K., Kozak, M., Stapor, K.: Kernels for Chemical Compounds in Biological Screening. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds.) ICANNGA 2007. LNCS, vol.\u00a04432, pp. 327\u2013337. Springer, Heidelberg (2007)"},{"issue":"10\/11","key":"59_CR8","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1023\/A:1027232610247","volume":"9","author":"R.S. Pearlman","year":"1998","unstructured":"Pearlman, R.S., Smith, K.M.: Novel software tools for chemical diversity. Perspectives in Drug Discovery and Design, 9\/10\/11, 339\u2013353 (1998)","journal-title":"Perspectives in Drug Discovery and Design"},{"key":"59_CR9","unstructured":"Debnath, R., Takahashi, H.: Generalization of kernel PCA and automatic parameter tuning. Neural Information Processing\u00a05(3) (December 2004)"},{"key":"59_CR10","doi-asserted-by":"publisher","first-page":"1667","DOI":"10.1162\/089976603321891855","volume":"15","author":"S.S. Keerthi","year":"2003","unstructured":"Keerthi, S.S., Lin, C.-J.: Asymptotic behaviours of support vector machines with Gaussian kernel. Neural Computation\u00a015, 1667\u20131689 (2003)","journal-title":"Neural Computation"},{"key":"59_CR11","doi-asserted-by":"crossref","unstructured":"Kramer, S., De Raedt, L., Helma, C.: Molecular feature mining in hiv data. In: 7th International Conference on Knowledge Discovery and Data Mining (2001)","DOI":"10.1145\/502512.502533"},{"key":"59_CR12","volume-title":"Learning with kernels","author":"B. Schoelkopf","year":"2002","unstructured":"Schoelkopf, B., Smola, A.J.: Learning with kernels. MIT Press, Cambridge (2002)"},{"key":"59_CR13","volume-title":"Stasistical Learning Theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Stasistical Learning Theory. Wiley, New York (1998)"},{"issue":"9","key":"59_CR14","doi-asserted-by":"publisher","first-page":"2013","DOI":"10.1162\/089976600300015042","volume":"12","author":"V. Vapnik","year":"2000","unstructured":"Vapnik, V., Chapelle, O.: Bounds on error expectation for support vector machines. Neural computation\u00a012(9), 2013\u20132036 (2000)","journal-title":"Neural computation"},{"key":"59_CR15","volume-title":"Resampling-based multiple testing: Examples and methods for p-value adjustment","author":"P.H. Westfall","year":"1993","unstructured":"Westfall, P.H., Young, S.S.: Resampling-based multiple testing: Examples and methods for p-value adjustment. John Wiley & Sons, Chichester (1993)"},{"key":"59_CR16","doi-asserted-by":"crossref","unstructured":"Boser, Y., Guyon, I., Vapnik, V.: A training algorithm for optimal margin classifiers. In: Fifth Annual Workshop on Computational Learning Theory, Pittsburg (1992)","DOI":"10.1145\/130385.130401"},{"key":"59_CR17","unstructured":"\u201cexactRankTests\u201d: Exact Distributions for Rank and Permutation Tests, http:\/\/cran.r-project.org\/src\/contrib\/Descriptions\/exactRankTests.html."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing \u2013 ICAISC 2008"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-69731-2_59.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T14:45:57Z","timestamp":1684507557000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-69731-2_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540695721","9783540697312"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-69731-2_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}