A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks
暂无分享,去创建一个
Jieping Ye | Lei Tang | Jianhui Chen | Jun Liu | Jieping Ye | Jun Liu | Jianhui Chen | Lei Tang
[1] Tong Zhang,et al. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , 2005, J. Mach. Learn. Res..
[2] Jos F. Sturm,et al. A Matlab toolbox for optimization over symmetric cones , 1999 .
[3] Rie Kubota Ando,et al. BioCreative II Gene Mention Tagging System at IBM Watson , 2007 .
[4] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[5] Robert H. Halstead,et al. Matrix Computations , 2011, Encyclopedia of Parallel Computing.
[6] Sebastian Thrun,et al. Discovering Structure in Multiple Learning Tasks: The TC Algorithm , 1996, ICML.
[7] Thomas Serre,et al. Categorization by Learning and Combining Object Parts , 2001, NIPS.
[8] Tom Heskes,et al. Task Clustering and Gating for Bayesian Multitask Learning , 2003, J. Mach. Learn. Res..
[9] Jieping Ye,et al. Drosophila gene expression pattern annotation using sparse features and term-term interactions , 2009, KDD.
[10] Massimiliano Pontil,et al. Convex multi-task feature learning , 2008, Machine Learning.
[11] P. Tomançak,et al. Global Analysis of mRNA Localization Reveals a Prominent Role in Organizing Cellular Architecture and Function , 2007, Cell.
[12] Paul Tseng,et al. Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning , 2010, SIAM J. Optim..
[13] Arkadi Nemirovski,et al. EFFICIENT METHODS IN CONVEX PROGRAMMING , 2007 .
[14] Murat Dundar,et al. An Improved Multi-task Learning Approach with Applications in Medical Diagnosis , 2008, ECML/PKDD.
[15] Wen Gao,et al. Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video , 2010, International Journal of Computer Vision.
[16] Yiming Yang,et al. RCV1: A New Benchmark Collection for Text Categorization Research , 2004, J. Mach. Learn. Res..
[17] David D. Lewis,et al. Evaluating Text Categorization I , 1991, HLT.
[18] Shuiwang Ji,et al. SLEP: Sparse Learning with Efficient Projections , 2011 .
[19] Anton Schwaighofer,et al. Learning Gaussian processes from multiple tasks , 2005, ICML.
[20] Jonathan Baxter,et al. A Model of Inductive Bias Learning , 2000, J. Artif. Intell. Res..
[21] Massimiliano Pontil,et al. Multi-Task Feature Learning , 2006, NIPS.
[22] Jean-Philippe Vert,et al. Clustered Multi-Task Learning: A Convex Formulation , 2008, NIPS.
[23] Naonori Ueda,et al. Parametric Mixture Models for Multi-Labeled Text , 2002, NIPS.
[24] Trevor Darrell,et al. Learning Visual Representations using Images with Captions , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Charless C. Fowlkes,et al. A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm , 2008, Cell.
[26] Anton Schwaighofer,et al. Learning Gaussian Process Kernels via Hierarchical Bayes , 2004, NIPS.
[27] Michael I. Jordan,et al. Multi-task feature selection , 2006 .
[28] P. Brucker. Review of recent development: An O( n) algorithm for quadratic knapsack problems , 1984 .
[29] Charles A. Micchelli,et al. Learning Multiple Tasks with Kernel Methods , 2005, J. Mach. Learn. Res..
[30] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[31] H. Theron,et al. BEXA: A Covering Algorithm for Learning Propositional Concept Descriptions , 1996, Machine Learning.
[32] Yiming Yang,et al. Learning Multiple Related Tasks using Latent Independent Component Analysis , 2005, NIPS.
[33] Ya Zhang,et al. Boosted multi-task learning , 2010, Machine Learning.
[34] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[35] Jieping Ye,et al. Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks , 2010, TKDD.
[36] J. Moreau. Proximité et dualité dans un espace hilbertien , 1965 .
[37] Jiayu Zhou,et al. Clustered Multi-Task Learning Via Alternating Structure Optimization , 2011, NIPS.
[38] Jieping Ye,et al. An accelerated gradient method for trace norm minimization , 2009, ICML '09.
[39] Michael L. Overton,et al. Optimality conditions and duality theory for minimizing sums of the largest eigenvalues of symmetric matrices , 2015, Math. Program..
[40] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[41] Charles A. Micchelli,et al. A Spectral Regularization Framework for Multi-Task Structure Learning , 2007, NIPS.
[42] Tony Jebara,et al. Multi-task feature and kernel selection for SVMs , 2004, ICML.
[43] Pablo A. Parrilo,et al. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization , 2007, SIAM Rev..
[44] Neil D. Lawrence,et al. Learning to learn with the informative vector machine , 2004, ICML.
[45] M. Ashburner,et al. Systematic determination of patterns of gene expression during Drosophila embryogenesis , 2002, Genome Biology.
[46] Rich Caruana,et al. Multitask Learning , 1998, Encyclopedia of Machine Learning and Data Mining.
[47] Julien Mairal,et al. Convex optimization with sparsity-inducing norms , 2011 .
[48] Volker Tresp,et al. Robust multi-task learning with t-processes , 2007, ICML '07.
[49] Massimiliano Pontil,et al. Regularized multi--task learning , 2004, KDD.
[50] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[51] Lawrence Carin,et al. Multi-Task Learning for Classification with Dirichlet Process Priors , 2007, J. Mach. Learn. Res..