A Unifying View of Multiple Kernel Learning
暂无分享,去创建一个
[1] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[2] 丸山 徹. Convex Analysisの二,三の進展について , 1977 .
[3] R. Showalter. Monotone operators in Banach space and nonlinear partial differential equations , 1996 .
[4] Jorge Nocedal,et al. Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization , 1997, TOMS.
[5] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[6] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[7] Alexander J. Smola,et al. Learning with kernels , 1998 .
[8] Thomas de Quincey. [C] , 2000, The Works of Thomas De Quincey, Vol. 1: Writings, 1799–1820.
[9] Peter L. Bartlett,et al. Rademacher and Gaussian Complexities: Risk Bounds and Structural Results , 2003, J. Mach. Learn. Res..
[10] Gunnar Rätsch,et al. An introduction to kernel-based learning algorithms , 2001, IEEE Trans. Neural Networks.
[11] Eleazar Eskin,et al. The Spectrum Kernel: A String Kernel for SVM Protein Classification , 2001, Pacific Symposium on Biocomputing.
[12] 장윤희,et al. Y. , 2003, Industrial and Labor Relations Terms.
[13] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[14] Nello Cristianini,et al. Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..
[15] Michael I. Jordan,et al. Multiple kernel learning, conic duality, and the SMO algorithm , 2004, ICML.
[16] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[17] Gunnar Rätsch,et al. ARTS: accurate recognition of transcription starts in human , 2006, ISMB.
[18] Gunnar Rätsch,et al. Large Scale Multiple Kernel Learning , 2006, J. Mach. Learn. Res..
[19] Ryan M. Rifkin,et al. Value Regularization and Fenchel Duality , 2007, J. Mach. Learn. Res..
[20] Olivier Chapelle,et al. Training a Support Vector Machine in the Primal , 2007, Neural Computation.
[21] Peter L. Bartlett,et al. Matrix regularization techniques for online multitask learning , 2008 .
[22] K. R. Ramakrishnan,et al. On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation , 2009, NIPS.
[23] Shinichi Nakajima,et al. Feature Selection for Density Level-Sets , 2009, ECML/PKDD.
[24] Mehryar Mohri,et al. L2 Regularization for Learning Kernels , 2009, UAI.
[25] Yvan Saeys,et al. Toward a gold standard for promoter prediction evaluation , 2009, Bioinform..
[26] Klaus-Robert Müller,et al. Efficient and Accurate Lp-Norm Multiple Kernel Learning , 2009, NIPS.
[27] Alexander Zien,et al. Non-Sparse Regularization and Efficient Training with Multiple Kernels , 2010, ArXiv.
[28] Mehryar Mohri,et al. Generalization Bounds for Learning Kernels , 2010, ICML.
[29] Ryota Tomioka,et al. Sparsity-accuracy trade-off in MKL , 2010, 1001.2615.
[30] Chiranjib Bhattacharyya,et al. Variable Sparsity Kernel Learning , 2011, J. Mach. Learn. Res..