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Volumn 2, Issue , 2014, Pages 1310-1321

On p-norm path following in multiple kernel learning for non-linear feature selection

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS;

EID: 84919906567     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (49)
  • 2
    • 84971957489 scopus 로고
    • Continuation and path following
    • Allgower, E. L. and Georg, K. Continuation and path following. Acta Numer, 2:1-64, 1993.
    • (1993) Acta Numer , vol.2 , pp. 1-64
    • Allgower, E.L.1    Georg, K.2
  • 3
    • 34547984768 scopus 로고    scopus 로고
    • Scalable training of L-l-regularized log- linear models
    • Andrew, G. and Gao, J. Scalable training of L-l-regularized log- linear models. In ICML, pp. 33-40, 2007.
    • (2007) ICML , pp. 33-40
    • Andrew, G.1    Gao, J.2
  • 4
    • 84858766876 scopus 로고    scopus 로고
    • Exploring large feature spaces with hierarchical multiple kernel learning
    • Bach, F. R. Exploring large feature spaces with hierarchical multiple kernel learning. In NIPS, pp. 105-112, 2008.
    • (2008) NIPS , pp. 105-112
    • Bach, F.R.1
  • 5
    • 23244435214 scopus 로고    scopus 로고
    • Computing regularization paths for learning multiple kernels
    • Bach, F. R., Thibaux, R., and Jordan, M. I. Computing regularization paths for learning multiple kernels. In NIPS, 2004.
    • (2004) NIPS
    • Bach, F.R.1    Thibaux, R.2    Jordan, M.I.3
  • 6
    • 33748436837 scopus 로고    scopus 로고
    • Boosting sex identification performance
    • Baluja, S. and Rowley, H. Boosting sex identification performance. IJCV, 71(1):111-119, 2007.
    • (2007) IJCV , vol.71 , Issue.1 , pp. 111-119
    • Baluja, S.1    Rowley, H.2
  • 7
    • 26244461684 scopus 로고    scopus 로고
    • Clustering with bregman divergences
    • Baneijee, A., Merugu, S., Dhillon, I. S., and Ghosh, J. Clustering with bregman divergences. JMLR, 6:1705-1749, 2005.
    • (2005) JMLR , vol.6 , pp. 1705-1749
    • Baneijee, A.1    Merugu, S.2    Dhillon, I.S.3    Ghosh, J.4
  • 8
    • 0347242385 scopus 로고    scopus 로고
    • Lectures on modern convex optimization: Analysis, algorithms and engineering applications
    • Ben-Tal, A. and Nemirovski, A. Lectures on Modern Convex Optimization: Analysis, Algorithms and Engineering Applications. MPS/SIAM Series on Optimization, 1, 2001.
    • (2001) MPS/SIAM Series on Optimization , pp. 1
    • Ben-Tal, A.1    Nemirovski, A.2
  • 9
    • 0038368335 scopus 로고    scopus 로고
    • Stability and generalization
    • Bousquet, O. and Elisseeff, A. Stability and generalization. JMLR, 2:499-526, 2002.
    • (2002) JMLR , vol.2 , pp. 499-526
    • Bousquet, O.1    Elisseeff, A.2
  • 11
    • 34547971383 scopus 로고    scopus 로고
    • Direct convex relaxations of sparse SVM
    • Chan, A. B., Vasconcelos, N., and Lanckriet, G. Direct convex relaxations of sparse SVM. In ICML, pp. 145-153, 2007.
    • (2007) ICML , pp. 145-153
    • Chan, A.B.1    Vasconcelos, N.2    Lanckriet, G.3
  • 12
    • 65449122452 scopus 로고    scopus 로고
    • Learning subspace kernels for classification
    • Chen, J., Ji, S., Ceran, B., Li, Q., Wu, M., and Ye, J. Learning subspace kernels for classification. In KDD, 2008.
    • (2008) KDD
    • Chen, J.1    Ji, S.2    Ceran, B.3    Li, Q.4    Wu, M.5    Ye, J.6
  • 13
    • 77958134983 scopus 로고    scopus 로고
    • L2 regularization for learning kernels
    • Cortes, C., Mohri, M., and Rostamizadeh, A. L2 regularization for learning kernels. In UAI, 2009a.
    • (2009) UAI
    • Cortes, C.1    Mohri, M.2    Rostamizadeh, A.3
  • 14
    • 84858743760 scopus 로고    scopus 로고
    • Learning non-linear combinations of kernels
    • Cortes, C., Mohri, M., and Rostamizadeh, A. Learning non-linear combinations of kernels. In NIPS, 2009b.
    • (2009) NIPS
    • Cortes, C.1    Mohri, M.2    Rostamizadeh, A.3
  • 15
    • 84859463794 scopus 로고    scopus 로고
    • Algorithms for learning kernels based on centered alignment
    • Cortes, C., Mohri, M., and Rostamizadeh, A. Algorithms for learning kernels based on centered alignment. JMLR, 13:795- 828, 2012.
    • (2012) JMLR , vol.13 , pp. 795-828
    • Cortes, C.1    Mohri, M.2    Rostamizadeh, A.3
  • 19
    • 85156255820 scopus 로고    scopus 로고
    • Adaptive scaling for feature selection in svms
    • Grandvalet, Y. and Canu, S. Adaptive scaling for feature selection in svms. In NIPS, 2002.
    • (2002) NIPS
    • Grandvalet, Y.1    Canu, S.2
  • 20
    • 76649126602 scopus 로고    scopus 로고
    • Computing the solution path for the regularized support vector regression
    • Gunter, L. and Zhu, J. Computing the solution path for the regularized support vector regression. In NIPS, 2005.
    • (2005) NIPS
    • Gunter, L.1    Zhu, J.2
  • 22
    • 84925605946 scopus 로고    scopus 로고
    • The entire regularization path for the support vector machine
    • Hastie, T., Rosset, S., Tibshirani, R., and Zhu, J. The entire regularization path for the support vector machine. JMLR, 5:1391- 1415, 2004.
    • (2004) JMLR , vol.5 , pp. 1391-1415
    • Hastie, T.1    Rosset, S.2    Tibshirani, R.3    Zhu, J.4
  • 23
    • 80052908079 scopus 로고    scopus 로고
    • Sharing features between objects and their attributes
    • Hwang, S. J., Sha, F., and Grauman, K. Sharing features between objects and their attributes. In CVPR, pp. 1761-1768, 2011.
    • (2011) CVPR , pp. 1761-1768
    • Hwang, S.J.1    Sha, F.2    Grauman, K.3
  • 24
    • 84877777363 scopus 로고    scopus 로고
    • Semantic kernel forests from multiple taxonomies
    • Hwang, S. J., Grauman, K., and Sha, F. Semantic kernel forests from multiple taxonomies. In NIPS, 2012.
    • (2012) NIPS
    • Hwang, S.J.1    Grauman, K.2    Sha, F.3
  • 25
    • 84866010566 scopus 로고    scopus 로고
    • Spg-gmkl: Generalized multiple kernel learning with a million kernels
    • Jain, A., Vishwanathan, S. V. N., and Varma, M. Spg-gmkl: Generalized multiple kernel learning with a million kernels. In KDD, 2012.
    • (2012) KDD
    • Jain, A.1    Vishwanathan, S.V.N.2    Varma, M.3
  • 26
    • 70350627315 scopus 로고    scopus 로고
    • Multi-label multiple kernel learning
    • Ji, S., Sun, L., Jin, R., and Ye, J. Multi-label multiple kernel learning. In NIPS, 2008.
    • (2008) NIPS
    • Ji, S.1    Sun, L.2    Jin, R.3    Ye, J.4
  • 27
    • 33646032356 scopus 로고    scopus 로고
    • The p-norm generaliziation of the LMS algorithm for adaptive filtering
    • Kivinen, J., Warmuth, M. K., and Hassibi, B. The p-norm generaliziation of the LMS algorithm for adaptive filtering. IEEE Trans. Signal Processing, 54(5): 1782-1793, 2006.
    • (2006) IEEE Trans. Signal Processing , vol.54 , Issue.5 , pp. 1782-1793
    • Kivinen, J.1    Warmuth, M.K.2    Hassibi, B.3
  • 28
    • 79955848223 scopus 로고    scopus 로고
    • Lp-norm multiple kernel learning
    • Kloft, M., Brefeld, U., Sonnenburg, S., and Zien, A. lp-norm multiple kernel learning. JMLR, 12:953-997, 2011.
    • (2011) JMLR , vol.12 , pp. 953-997
    • Kloft, M.1    Brefeld, U.2    Sonnenburg, S.3    Zien, A.4
  • 30
    • 84919888893 scopus 로고    scopus 로고
    • Learning the kernel matrix with low- rank multiplicative shaping
    • Levinboim, T. and Sha, F. Learning the kernel matrix with low- rank multiplicative shaping. In AAAI, 2012.
    • (2012) AAAI
    • Levinboim, T.1    Sha, F.2
  • 31
    • 84867872920 scopus 로고    scopus 로고
    • The feature selection path in kernel methods
    • Li, F. and Sminchisescu, C. The feature selection path in kernel methods. In AISTATS, 2010.
    • (2010) AISTATS
    • Li, F.1    Sminchisescu, C.2
  • 32
    • 84919888892 scopus 로고    scopus 로고
    • From lasso regression to feature vector machine
    • Li, F., Yang, Y., and Xing, E. From lasso regression to feature vector machine. In NIPS, 2006.
    • (2006) NIPS
    • Li, F.1    Yang, Y.2    Xing, E.3
  • 33
    • 80053459750 scopus 로고    scopus 로고
    • Ultra-fast optimization algorithm for sparse multi kernel learning
    • Orabona, F. and Jie, L. Ultra-fast optimization algorithm for sparse multi kernel learning. In ICML, 2011.
    • (2011) ICML
    • Orabona, F.1    Jie, L.2
  • 34
    • 84857883067 scopus 로고    scopus 로고
    • Multi kernel learning with online-batch optimization
    • Orabona, F., Luo, J., and Caputo, B. Multi kernel learning with online-batch optimization. JMLR, 13:227-253, 2012.
    • (2012) JMLR , vol.13 , pp. 227-253
    • Orabona, F.1    Luo, J.2    Caputo, B.3
  • 36
    • 33745784116 scopus 로고    scopus 로고
    • Following curved regularized optimization solution paths
    • Rosset, S. Following curved regularized optimization solution paths. In NIPS, 2004.
    • (2004) NIPS
    • Rosset, S.1
  • 37
    • 84862024860 scopus 로고    scopus 로고
    • Feature selection via dependence maximization
    • Song, L., Smola, A., Gretton, A., Bedo, J., and Borgwardt, K. Feature selection via dependence maximization. JMLR, 13: 1393-1434, 2012.
    • (2012) JMLR , vol.13 , pp. 1393-1434
    • Song, L.1    Smola, A.2    Gretton, A.3    Bedo, J.4    Borgwardt, K.5
  • 38
    • 71149100224 scopus 로고    scopus 로고
    • More generality in efficient multiple kernel learning
    • Varma, M. and Babu, B. R. More generality in efficient multiple kernel learning. In ICML, 2009.
    • (2009) ICML
    • Varma, M.1    Babu, B.R.2
  • 41
    • 33749253889 scopus 로고    scopus 로고
    • Two-dimensional solution path for support vector regression
    • Wang, G., Yeung, D.-Y., and Lochovsky, F. H. Two-dimensional solution path for support vector regression. In ICML, 2006.
    • (2006) ICML
    • Wang, G.1    Yeung, D.-Y.2    Lochovsky, F.H.3
  • 42
    • 84862276865 scopus 로고    scopus 로고
    • A kernel path algorithm for support vector machines
    • Wang, G., Yeung, D.-Y., and Lochovsky, F. H. A kernel path algorithm for support vector machines. In ICML, 2007.
    • (2007) ICML
    • Wang, G.1    Yeung, D.-Y.2    Lochovsky, F.H.3
  • 44
    • 31844432832 scopus 로고    scopus 로고
    • Building sparse large margin classifier
    • Wu, M., Scholkopf, B., and Bakir, G. Building sparse large margin classifier. In ICML, 2005.
    • (2005) ICML
    • Wu, M.1    Scholkopf, B.2    Bakir, G.3
  • 45
    • 44649123652 scopus 로고    scopus 로고
    • Multi-class discriminant kernel learning via convex programming
    • Ye, J.,, Ji, S., and Chen, J. Multi-class discriminant kernel learning via convex programming. JMLR, 9:719-758, 2008.
    • (2008) JMLR , vol.9 , pp. 719-758
    • Ye, J.1    Ji, S.2    Chen, J.3
  • 46
    • 37749006178 scopus 로고    scopus 로고
    • Stagewise lasso
    • Zhao, P. and Yu, B. Stagewise lasso. JMLR, 8:2701-2726, 2007.
    • (2007) JMLR , vol.8 , pp. 2701-2726
    • Zhao, P.1    Yu, B.2
  • 49
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable seclection via the elastic net
    • Zou, H. and Hastie, T. Regularization and variable seclection via the elastic net. Journal of the Royal Statistical Society B, 67 (2):301-320, 2005.
    • (2005) Journal of the Royal Statistical Society B , vol.67 , Issue.2 , pp. 301-320
    • Zou, H.1    Hastie, T.2


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