{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T15:22:22Z","timestamp":1783610542978,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2007,6,20]],"date-time":"2007-06-20T00:00:00Z","timestamp":1182297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2007,6,20]]},"DOI":"10.1145\/1273496.1273600","type":"proceedings-article","created":{"date-parts":[[2008,10,7]],"date-time":"2008-10-07T13:06:52Z","timestamp":1223384812000},"page":"823-830","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":242,"title":["Supervised feature selection via dependence estimation"],"prefix":"10.1145","author":[{"given":"Le","family":"Song","sequence":"first","affiliation":[{"name":"University of Sydney"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alex","family":"Smola","sequence":"additional","affiliation":[{"name":"Statistical Machine Learning Program, Canberra, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arthur","family":"Gretton","sequence":"additional","affiliation":[{"name":"MPI for Biological Cybernetics, T\u00fcbingen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karsten M.","family":"Borgwardt","sequence":"additional","affiliation":[{"name":"LMU, M\u00fcnchen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justin","family":"Bedo","sequence":"additional","affiliation":[{"name":"Statistical Machine Learning Program, Canberra, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2007,6,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9947-1973-0336795-3"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl242"},{"key":"e_1_3_2_1_3_1","volume-title":"UC Davis Department of Statistics.","author":"Cristianini N.","year":"2003","unstructured":"Cristianini , N. , Kandola , J. , Elisseeff , A. , & Shawe-Taylor , J. ( 2003 ). On optimizing kernel alignment. Tech. rep ., UC Davis Department of Statistics. Cristianini, N., Kandola, J., Elisseeff, A., & Shawe-Taylor, J. (2003). On optimizing kernel alignment. Tech. rep., UC Davis Department of Statistics."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827088"},{"key":"e_1_3_2_1_5_1","volume-title":"NIPS","volume":"18","author":"Dornhege G.","year":"2006","unstructured":"Dornhege , G. , Blankertz , B. , Krauledat , M. , Losch , F. , Curio , G. , & M&uuml; \u00fcller , K. ( 2006 ). Optimizing spatio-temporal filters for improving BCI . In NIPS , vol. 18 . Dornhege, G., Blankertz, B., Krauledat, M., Losch, F., Curio, G., & M&uuml;\u00fcller, K. (2006). Optimizing spatio-temporal filters for improving BCI. In NIPS, vol. 18."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1005335"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/11564089_7"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944968"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/645525.656966"},{"key":"e_1_3_2_1_11_1","volume-title":"ICML, 284--292.","author":"Koller D.","year":"1996","unstructured":"Koller , D. , & Sahami , M. ( 1996 ). Toward optimal feature selection . In ICML, 284--292. Koller, D., & Sahami, M. (1996). Toward optimal feature selection. In ICML, 284--292."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2005.851521"},{"key":"e_1_3_2_1_13_1","volume-title":"NIPS","volume":"14","author":"Nemenman I.","year":"2002","unstructured":"Nemenman , I. , Shafee , F. , & Bialek , W. ( 2002 ). Entropy and inference, revisited . In NIPS , vol. 14 . Nemenman, I., Shafee, F., & Bialek, W. (2002). Entropy and inference, revisited. In NIPS, vol. 14."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-005-1505-9"},{"key":"e_1_3_2_1_15_1","volume-title":"Learning with Kernels","author":"Sch\u00f6lkopf B.","year":"2002","unstructured":"Sch\u00f6lkopf , B. , & Smola , A. ( 2002 ). Learning with Kernels . Cambridge, MA : MIT Press . Sch\u00f6lkopf, B., & Smola, A. (2002). Learning with Kernels. Cambridge, MA: MIT Press."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316481","volume-title":"Approximation Theorems of Mathematical Statistics","author":"Serfling R.","year":"1980","unstructured":"Serfling , R. ( 1980 ). Approximation Theorems of Mathematical Statistics . New York : Wiley . Serfling, R. (1980). Approximation Theorems of Mathematical Statistics. New York: Wiley."},{"key":"e_1_3_2_1_17_1","volume-title":"NICTA, ANU.","author":"Song L.","year":"2007","unstructured":"Song , L. , Smola , A. , Gretton , A. , Borgwardt , K. , & Bedo , J. ( 2007 ). Feature selection for supervised learning using Hilbert-Schmidt Independence Criterion. Tech. rep ., NICTA, ANU. Song, L., Smola, A., Gretton, A., Borgwardt, K., & Bedo, J. (2007). Feature selection for supervised learning using Hilbert-Schmidt Independence Criterion. Tech. rep., NICTA, ANU."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1162\/153244302760185252"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944982"},{"key":"e_1_3_2_1_20_1","volume-title":"NIPS","volume":"13","author":"Weston J.","year":"2000","unstructured":"Weston , J. , Mukherjee , S. , Chapelle , O. , Pontil , M. , Poggio , T. , & Vapnik , V. ( 2000 ). Feature selection for SVMs . In NIPS , vol. 13 . Weston, J., Mukherjee, S., Chapelle, O., Pontil, M., Poggio, T., & Vapnik, V. (2000). Feature selection for SVMs. In NIPS, vol. 13."},{"key":"e_1_3_2_1_21_1","volume-title":"UAI.","author":"Zaffalon M.","year":"2002","unstructured":"Zaffalon , M. , & Hutter , M. ( 2002 ). Robust feature selection using distributions of mutual information . In UAI. Zaffalon, M., & Hutter, M. (2002). Robust feature selection using distributions of mutual information. In UAI."}],"event":{"name":"ICML '07 & ILP '07: The 24th Annual International Conference on Machine Learning held in conjunction with the 2007 International Conference on Inductive Logic Programming","location":"Corvalis Oregon USA","acronym":"ICML '07 & ILP '07","sponsor":["Machine Learning Journal"]},"container-title":["Proceedings of the 24th international conference on Machine learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1273496.1273600","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1273496.1273600","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T14:58:01Z","timestamp":1750258681000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1273496.1273600"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,6,20]]},"references-count":21,"alternative-id":["10.1145\/1273496.1273600","10.1145\/1273496"],"URL":"https:\/\/doi.org\/10.1145\/1273496.1273600","relation":{},"subject":[],"published":{"date-parts":[[2007,6,20]]},"assertion":[{"value":"2007-06-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}