{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T12:12:54Z","timestamp":1771330374033,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2012,8,12]],"date-time":"2012-08-12T00:00:00Z","timestamp":1344729600000},"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":[[2012,8,12]]},"DOI":"10.1145\/2339530.2339648","type":"proceedings-article","created":{"date-parts":[[2012,8,14]],"date-time":"2012-08-14T12:18:56Z","timestamp":1344946736000},"page":"750-758","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":41,"title":["SPF-GMKL"],"prefix":"10.1145","author":[{"given":"Ashesh","family":"Jain","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Delhi, New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.V.N.","family":"Vishwanathan","sequence":"additional","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manik","family":"Varma","sequence":"additional","affiliation":[{"name":"Microsoft Research India, Bengaluru, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2012,8,12]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.1953065"},{"key":"e_1_3_2_2_2_1","first-page":"105","volume-title":"NIPS","author":"Bach F. R.","year":"2008","unstructured":"F. R. Bach . Exploring large feature spaces with hierarchical multiple kernel learning . In NIPS , pages 105 -- 112 , 2008 . F. R. Bach. Exploring large feature spaces with hierarchical multiple kernel learning. In NIPS, pages 105--112, 2008."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015424"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/imanum\/8.1.141"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623497330963"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"e_1_3_2_2_7_1","volume-title":"NIPS Workshop on Automatic Selection of Optimal Kernels","author":"Chapelle O.","year":"2008","unstructured":"O. Chapelle and A. Rakotomamonjy . Second order optimization of kernel parameters . In NIPS Workshop on Automatic Selection of Optimal Kernels , 2008 . O. Chapelle and A. Rakotomamonjy. Second order optimization of kernel parameters. In NIPS Workshop on Automatic Selection of Optimal Kernels, 2008."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012450327387"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401908"},{"issue":"3","key":"e_1_3_2_2_10_1","first-page":"327","article-title":"On the use of the spectral projected gradient method for support vector machines","volume":"28","author":"Cores D.","year":"2009","unstructured":"D. Cores , R. Escalante , M. Gonzalez-Lima , and O. Jimenez . On the use of the spectral projected gradient method for support vector machines . Computational and Applied Mathematics , 28 ( 3 ): 327 -- 364 , 2009 . D. Cores, R. Escalante, M. Gonzalez-Lima, and O. Jimenez. On the use of the spectral projected gradient method for support vector machines. Computational and Applied Mathematics, 28(3):327--364, 2009.","journal-title":"Computational and Applied Mathematics"},{"key":"e_1_3_2_2_11_1","first-page":"396","volume-title":"NIPS","author":"Cortes C.","year":"2009","unstructured":"C. Cortes , M. Mohri , and A. Rostamizadeh . Learning non-linear combinations of kernels . In NIPS , pages 396 -- 404 , 2009 . C. Cortes, M. Mohri, and A. Rostamizadeh. Learning non-linear combinations of kernels. In NIPS, pages 396--404, 2009."},{"key":"e_1_3_2_2_12_1","first-page":"367","volume-title":"NIPS","author":"Cristianini N.","year":"2001","unstructured":"N. Cristianini , J. Shawe-Taylor , A. Elisseeff , and J. Kandola . On kernel-target alignment . In NIPS , pages 367 -- 373 , 2001 . N. Cristianini, J. Shawe-Taylor, A. Elisseeff, and J. Kandola. On kernel-target alignment. In NIPS, pages 367--373, 2001."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-46092-0","volume-title":"The Theorey of Max-Min and its Applications to Weapons Allocation Problems","author":"Danskin J. M.","year":"1967","unstructured":"J. M. Danskin . The Theorey of Max-Min and its Applications to Weapons Allocation Problems . 1967 . J. M. Danskin. The Theorey of Max-Min and its Applications to Weapons Allocation Problems. 1967."},{"key":"e_1_3_2_2_14_1","first-page":"649","volume-title":"NIPS","author":"Gai K.","year":"2010","unstructured":"K. Gai , G. Chen , and C. Zhang . Learning kernels with radiuses of minimum enclosing balls . In NIPS , pages 649 -- 657 , 2010 . K. Gai, G. Chen, and C. Zhang. Learning kernels with radiuses of minimum enclosing balls. In NIPS, pages 649--657, 2010."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390201"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1137\/0723046"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"A. Jain S. V. N. Vishwanathan and M. Varma 2012. The SPG-GMKL code http:\/\/research.microsoft.com\/~manik\/code\/SPG-GMKL\/download.html.  A. Jain S. V. N. Vishwanathan and M. Varma 2012. The SPG-GMKL code http:\/\/research.microsoft.com\/~manik\/code\/SPG-GMKL\/download.html.","DOI":"10.1145\/2339530.2339648"},{"key":"e_1_3_2_2_18_1","first-page":"997","volume-title":"NIPS","author":"Kloft M.","year":"2009","unstructured":"M. Kloft , U. Brefeld , S. Sonnenburg , P. Laskov , K.-R. Muller , and A. Zien . Efficient and accurate lp-norm Multiple Kernel Learning . In NIPS , pages 997 -- 1005 , 2009 . M. Kloft, U. Brefeld, S. Sonnenburg, P. Laskov, K.-R. Muller, and A. Zien. Efficient and accurate lp-norm Multiple Kernel Learning. In NIPS, pages 997--1005, 2009."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1005334"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/1046920.1088708"},{"key":"e_1_3_2_2_21_1","first-page":"249","volume-title":"ICML","author":"Orabona F.","year":"2011","unstructured":"F. Orabona and L. Jie . Ultra-fast optimization algorithm for sparse multi kernel learning . In ICML , pages 249 -- 256 , June 2011 . F. Orabona and L. Jie. Ultra-fast optimization algorithm for sparse multi kernel learning. In ICML, pages 249--256, June 2011."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540137"},{"key":"e_1_3_2_2_23_1","first-page":"2491","volume":"9","author":"Rakotomamonjy A.","year":"2008","unstructured":"A. Rakotomamonjy , F. Bach , Y. Grandvalet , and S. Canu . SimpleMKL. JMLR , 9 : 2491 -- 2521 , 2008 . A. Rakotomamonjy, F. Bach, Y. Grandvalet, and S. Canu. SimpleMKL. JMLR, 9:2491--2521, 2008.","journal-title":"SimpleMKL. JMLR"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623494266365"},{"key":"e_1_3_2_2_25_1","first-page":"2519","volume-title":"NIPS","author":"Sindhwani V.","year":"2011","unstructured":"V. Sindhwani and A. C. Lozano . Non-parametric group orthogonal matching pursuit for sparse learning with multiple kernels . In NIPS , pages 2519 -- 2527 , 2011 . V. Sindhwani and A. C. Lozano. Non-parametric group orthogonal matching pursuit for sparse learning with multiple kernels. In NIPS, pages 2519--2527, 2011."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248604"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.860848"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553510"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408875"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459183"},{"key":"e_1_3_2_2_31_1","first-page":"2361","volume-title":"NIPS","author":"Vishwanathan S. V. N.","year":"2010","unstructured":"S. V. N. Vishwanathan , Z. Sun , N. Theera-Ampornpunt , and M. Varma . Multiple kernel learning and the SMO algorithm . In NIPS , pages 2361 -- 2369 , 2010 . S. V. N. Vishwanathan, Z. Sun, N. Theera-Ampornpunt, and M. Varma. Multiple kernel learning and the SMO algorithm. In NIPS, pages 2361--2369, 2010."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.5555\/1390681.1390706"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623403428208"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273646"}],"event":{"name":"KDD '12: The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Beijing China","acronym":"KDD '12","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2339530.2339648","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2339530.2339648","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T09:34:13Z","timestamp":1750239253000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2339530.2339648"}},"subtitle":["generalized multiple kernel learning with a million kernels"],"short-title":[],"issued":{"date-parts":[[2012,8,12]]},"references-count":34,"alternative-id":["10.1145\/2339530.2339648","10.1145\/2339530"],"URL":"https:\/\/doi.org\/10.1145\/2339530.2339648","relation":{},"subject":[],"published":{"date-parts":[[2012,8,12]]},"assertion":[{"value":"2012-08-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}