{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:10:58Z","timestamp":1761059458480},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2012,12,12]],"date-time":"2012-12-12T00:00:00Z","timestamp":1355270400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mach Learn"],"published-print":{"date-parts":[[2013,4]]},"DOI":"10.1007\/s10994-012-5324-5","type":"journal-article","created":{"date-parts":[[2012,12,11]],"date-time":"2012-12-11T14:45:00Z","timestamp":1355237100000},"page":"43-66","source":"Crossref","is-referenced-by-count":11,"title":["Learning with infinitely many features"],"prefix":"10.1007","volume":"91","author":[{"given":"A.","family":"Rakotomamonjy","sequence":"first","affiliation":[]},{"given":"R.","family":"Flamary","sequence":"additional","affiliation":[]},{"given":"F.","family":"Yger","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,12,12]]},"reference":[{"key":"5324_CR1","first-page":"338","volume-title":"Proceedings of COLT\u20192005","author":"A. Argyriou","year":"2005","unstructured":"Argyriou, A., Micchelli, C., & Pontil, M. (2005). Learning convex combinations of continuously parameterized basic kernels. In Proceedings of COLT\u20192005 (pp. 338\u2013352)."},{"key":"5324_CR2","volume-title":"Proc. international conference in machine learning","author":"A. Argyriou","year":"2006","unstructured":"Argyriou, A., Hauser, R., Micchelli, C., & Pontil, M. (2006). A dc-programming algorithm for kernel selection. In Proc. international conference in machine learning."},{"issue":"3","key":"5324_CR3","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s10994-007-5040-8","volume":"73","author":"A. Argyriou","year":"2008","unstructured":"Argyriou, A., Evgeniou, T., & Pontil, M. (2008a). Convex multi-task feature learning. Machine Learning, 73(3), 243\u2013272.","journal-title":"Machine Learning"},{"key":"5324_CR4","volume-title":"Proceedings of the European conference on machine learning","author":"A. Argyriou","year":"2008","unstructured":"Argyriou, A., Maurer, A., & Pontil, M. (2008b). An algorithm for transfer learning in a heterogeneous environment. In Proceedings of the European conference on machine learning."},{"key":"5324_CR5","first-page":"2507","volume":"10","author":"A. Argyriou","year":"2009","unstructured":"Argyriou, A., Micchelli, C., & Pontil, M. (2009). When is there a representer theorem? Vector versus matrix regularizers. Journal of Machine Learning Research, 10, 2507\u20132529.","journal-title":"Journal of Machine Learning Research"},{"key":"5324_CR6","volume-title":"Proceedings of the 22nd international conference on machine learning","author":"F. Bach","year":"2005","unstructured":"Bach, F., & Jordan, M. (2005). Predictive low-rank decomposition for kernel methods. In Proceedings of the 22nd international conference on machine learning."},{"key":"5324_CR7","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1137\/080716542","volume":"2","author":"A. Beck","year":"2009","unstructured":"Beck, A., & Teboulle, M. (2009). A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal on Imaging Sciences, 2, 183\u2013202.","journal-title":"SIAM Journal on Imaging Sciences"},{"issue":"1","key":"5324_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y. Bengio","year":"2009","unstructured":"Bengio, Y. (2009). Learning deep architectures for AI. Foundations and Trends in Machine Learning, 2(1), 1\u2013127.","journal-title":"Foundations and Trends in Machine Learning"},{"issue":"12","key":"5324_CR9","doi-asserted-by":"crossref","first-page":"3325","DOI":"10.1016\/j.patcog.2007.04.023","volume":"40","author":"F. Bianconi","year":"2007","unstructured":"Bianconi, F., & Fernandez, A. (2007). Evaluation of the effects of Gabor filter parameters on texture classification. Pattern Recognition, 40(12), 3325\u20133335.","journal-title":"Pattern Recognition"},{"key":"5324_CR10","first-page":"1579","volume":"6","author":"A. Bordes","year":"2005","unstructured":"Bordes, A., Ertekin, S., Weston, J., & Bottou, L. (2005). Fast kernel classifiers with online and active learning. Journal of Machine Learning Research, 6, 1579\u20131619.","journal-title":"Journal of Machine Learning Research"},{"key":"5324_CR11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S. Boyd","year":"2011","unstructured":"Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011). Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3, 1\u2013122.","journal-title":"Foundations and Trends in Machine Learning"},{"issue":"1\u20132","key":"5324_CR12","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/s10994-010-5231-6","volume":"85","author":"O.P.S. Chapelle","year":"2011","unstructured":"Chapelle, O.P.S., Vadrevu, S., Weinberger, K., Zhang, Y., & Tseng, B. (2011). Boosted multi-task learning. Machine Learning, 85(1\u20132), 149\u2013173.","journal-title":"Machine Learning"},{"key":"5324_CR13","volume-title":"Proceedings of the international conference on data mining","author":"X. Chen","year":"2009","unstructured":"Chen, X., Pan, W., Kwok, J., & Carbonell, J. (2009). Accelerated gradient method for multi-task sparse learning problem. In Proceedings of the international conference on data mining."},{"issue":"3","key":"5324_CR14","doi-asserted-by":"crossref","first-page":"1186","DOI":"10.1016\/j.patcog.2007.07.025","volume":"41","author":"W.-P. Choi","year":"2008","unstructured":"Choi, W.-P., Tse, S.-H., Wong, K.-W., & Lam, K.-M. (2008). Simplified Gabor wavelets for human face recognition. Pattern Recognition, 41(3), 1186\u20131199.","journal-title":"Pattern Recognition"},{"issue":"11","key":"5324_CR15","doi-asserted-by":"crossref","first-page":"1835","DOI":"10.1016\/S0031-3203(99)00181-8","volume":"33","author":"D. Clausi","year":"2000","unstructured":"Clausi, D., & Jernigan, M. (2000). Designing Gabor filters for optimal texture separability. Pattern Recognition, 33(11), 1835\u20131849.","journal-title":"Pattern Recognition"},{"key":"5324_CR16","volume-title":"Proceedings of the 27th annual international conference on machine learning","author":"C. Cortes","year":"2010","unstructured":"Cortes, C., Mohri, M., & Rostamizadeh, A. (2010). Generalization bounds for learning kernels. In Proceedings of the 27th annual international conference on machine learning."},{"key":"5324_CR17","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1023\/A:1012470815092","volume":"46","author":"A. Demiriz","year":"2002","unstructured":"Demiriz, A., Bennett, K., & Shawe-Taylor, J. (2002). Linear programming boosting via column generation. Machine Learning, 46, 225\u2013254.","journal-title":"Machine Learning"},{"key":"5324_CR18","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1007\/BF01581204","volume":"5","author":"J. Eckstein","year":"1992","unstructured":"Eckstein, J., & Bertsekas, D. (1992). On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators. Mathematical Programming, 5, 293\u2013318.","journal-title":"Mathematical Programming"},{"key":"5324_CR19","volume-title":"Proceedings of the tenth conference on knowledge discovery and data mining","author":"T. Evgeniou","year":"2004","unstructured":"Evgeniou, T., & Pontil, M. (2004). Regularized multi-task learning. In Proceedings of the tenth conference on knowledge discovery and data mining."},{"key":"5324_CR20","volume-title":"NIPS workshop on automatic selection of kernel parameters","author":"P. Gehler","year":"2008","unstructured":"Gehler, P., & Nowozin, S. (2008). Infinite kernel learning. In NIPS workshop on automatic selection of kernel parameters."},{"key":"5324_CR21","volume-title":"Proceedings of the IEEE computer society conference on computer vision and pattern recognition","author":"P. Gehler","year":"2009","unstructured":"Gehler, P., & Nowozin, S. (2009). Let the kernel figure it out: principled learning of pre-processing for kernel classifiers. In Proceedings of the IEEE computer society conference on computer vision and pattern recognition."},{"key":"5324_CR22","volume-title":"Advances in neural information processing systems (NIPS)","author":"A. Jalali","year":"2010","unstructured":"Jalali, A., Ravikumar, P., Sanghavi, S., & Ruan, C. (2010). A dirty model for multitask learning. In Advances in neural information processing systems (NIPS)."},{"key":"5324_CR23","first-page":"27","volume":"5","author":"G. Lanckriet","year":"2004","unstructured":"Lanckriet, G., Cristianini, N., El Ghaoui, L., Bartlett, P., & Jordan, M. (2004). Learning the kernel matrix with semi-definite programming. Journal of Machine Learning Research, 5, 27\u201372.","journal-title":"Journal of Machine Learning Research"},{"key":"5324_CR24","volume-title":"Advances in neural information and processing systems","author":"H. Lee","year":"2009","unstructured":"Lee, H., Largman, Y., Pham, P., & Ng, A. (2009). Unsupervised feature learning for audio classification using convolutional deep belief networks. In Advances in neural information and processing systems."},{"key":"5324_CR25","volume-title":"Neural information processing systems","author":"L. Mason","year":"1999","unstructured":"Mason, L., Baxter, J., Bartlett, P., & Frean, M. (1999). Boosting algorithms as gradient descent in function space. In Neural information processing systems."},{"key":"5324_CR26","unstructured":"Mota, J., Xavier, J., Aguiar, P., & Puschel, M. (2011). A proof of convergence for the alternating direction method of multipliers applied to polyhedral-constrained functions (Technical report). arXiv:1112.2295 ."},{"issue":"11","key":"5324_CR27","doi-asserted-by":"crossref","first-page":"1815","DOI":"10.1016\/j.patcog.2005.01.024","volume":"38","author":"J. Neumann","year":"2005","unstructured":"Neumann, J., Schnorr, C., & Steidl, G. (2005). Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognition, 38(11), 1815\u20131830.","journal-title":"Pattern Recognition"},{"key":"5324_CR28","volume-title":"Numerical optimization","author":"J. Nocedal","year":"2000","unstructured":"Nocedal, J., & Wright, S. (2000). Numerical optimization. Berlin: Springer."},{"key":"5324_CR29","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/s11222-008-9111-x","volume":"20","author":"G. Obozinski","year":"2010","unstructured":"Obozinski, G., Taskar, B., & Jordan, M. (2010). Joint covariate selection and joint subspace selection for multiple classification problems. Statistics and Computing, 20, 231\u2013252.","journal-title":"Statistics and Computing"},{"key":"5324_CR30","first-page":"342","volume-title":"Proceedings of Euro mini conference on \u201cContinuous optimization and knowledge based technologies\u201d","author":"S. Ozogur-Akyuz","year":"2008","unstructured":"Ozogur-Akyuz, S., & Weber, G. (2008). Learning with infinitely many kernels via semi-infinite programming. In Proceedings of Euro mini conference on \u201cContinuous optimization and knowledge based technologies\u201d (pp. 342\u2013348)."},{"key":"5324_CR31","first-page":"1177","volume-title":"Advances in neural information processing systems (NIPS)","author":"A. Rahimi","year":"2007","unstructured":"Rahimi, A., & Recht, B. (2007). Random features for large-scale kernel machines. In Advances in neural information processing systems (NIPS) (pp. 1177\u20131184)."},{"issue":"8","key":"5324_CR32","doi-asserted-by":"crossref","first-page":"1307","DOI":"10.1109\/TNN.2011.2157521","volume":"22","author":"A. Rakotomamonjy","year":"2011","unstructured":"Rakotomamonjy, A., Flamary, R., Gasso, G., & Canu, S. (2011). \u2113 p \u2212\u2113 q penalty for sparse linear and sparse multiple kernel multi-task learning. IEEE Transactions on Neural Networks, 22(8), 1307\u20131320.","journal-title":"IEEE Transactions on Neural Networks"},{"key":"5324_CR33","first-page":"544","volume-title":"Proceedings of computational learning theory","author":"S. Rosset","year":"2007","unstructured":"Rosset, S., Swirszcz, G., Srebro, N., & Zhu, J. (2007). \u2113 1 regularization in infinite dimensional feature spaces. In Proceedings of computational learning theory (pp. 544\u2013558)."},{"issue":"3","key":"5324_CR34","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1109\/TPAMI.2007.56","volume":"29","author":"T. Serre","year":"2007","unstructured":"Serre, T., Wolf, L., Bileschi, S., Riesenhuber, M., & Poggio, T. (2007). Object recognition with cortex-like mechanisms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(3), 411\u2013426.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"12","key":"5324_CR35","doi-asserted-by":"crossref","first-page":"2216","DOI":"10.1109\/TPAMI.2010.47","volume":"32","author":"C. Shen","year":"2010","unstructured":"Shen, C., & Li, H. (2010). On the dual formulation of boosting algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(12), 2216\u20132231.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"5324_CR36","volume-title":"Proceedings of the IEEE conf. on computer vision and pattern recognition (CVPR)","author":"A. Vedaldi","year":"2010","unstructured":"Vedaldi, A., & Zisserman, A. (2010). Efficient additive kernels via explicit feature maps. In Proceedings of the IEEE conf. on computer vision and pattern recognition (CVPR)."},{"issue":"7","key":"5324_CR37","doi-asserted-by":"crossref","first-page":"1237","DOI":"10.1016\/j.patcog.2008.11.024","volume":"42","author":"J. Wang","year":"2009","unstructured":"Wang, J., Lu, H., Plataniotis, K., & Lu, J. (2009). Gaussian kernel optimization for pattern recognition. Pattern Recognition, 42(7), 1237\u20131247.","journal-title":"Pattern Recognition"},{"issue":"7","key":"5324_CR38","doi-asserted-by":"crossref","first-page":"2021","DOI":"10.1016\/j.patcog.2006.12.031","volume":"40","author":"D.-Y. Yeung","year":"2007","unstructured":"Yeung, D.-Y., Chang, H., & Dai, G. (2007). Learning the kernel matrix by maximizing a kfd-based class separability criterion. Pattern Recognition, 40(7), 2021\u20132028.","journal-title":"Pattern Recognition"},{"key":"5324_CR39","doi-asserted-by":"crossref","first-page":"2614","DOI":"10.1016\/j.patcog.2011.03.006","volume":"44","author":"F. Yger","year":"2011","unstructured":"Yger, F., & Rakotomamonjy, A. (2011). Wavelet kernel learning. Pattern Recognition, 44, 2614\u20132629.","journal-title":"Pattern Recognition"},{"key":"5324_CR40","volume-title":"Proceedings of 22nd annual conference on learning theory (COLT)","author":"Y. Ying","year":"2009","unstructured":"Ying, Y., & Campbell, C. (2009). Generalization bounds for learning the kernel. In Proceedings of 22nd annual conference on learning theory (COLT)."}],"container-title":["Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-012-5324-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10994-012-5324-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-012-5324-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T21:40:34Z","timestamp":1559338834000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10994-012-5324-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,12,12]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2013,4]]}},"alternative-id":["5324"],"URL":"https:\/\/doi.org\/10.1007\/s10994-012-5324-5","relation":{},"ISSN":["0885-6125","1573-0565"],"issn-type":[{"value":"0885-6125","type":"print"},{"value":"1573-0565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,12,12]]}}}