Transferring Nonlinear Representations using Gaussian Processes with a Shared Latent Space
暂无分享,去创建一个
Neil D. Lawrence | Trevor Darrell | Raquel Urtasun | Ariadna Quattoni | Neil D. Lawrence | Trevor Darrell | R. Urtasun | A. Quattoni
[1] Sebastian Thrun,et al. Is Learning The n-th Thing Any Easier Than Learning The First? , 1995, NIPS.
[2] Ken Lang,et al. NewsWeeder: Learning to Filter Netnews , 1995, ICML.
[3] Rich Caruana,et al. Multitask Learning , 1997, Machine-mediated learning.
[4] David Barber,et al. Bayesian Classification With Gaussian Processes , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[6] Tom Minka,et al. A family of algorithms for approximate Bayesian inference , 2001 .
[7] Jonathan Baxter,et al. A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling , 1997, Machine Learning.
[8] Neil D. Lawrence,et al. Learning to learn with the informative vector machine , 2004, ICML.
[9] Anton Schwaighofer,et al. Learning Gaussian processes from multiple tasks , 2005, ICML.
[10] Rajesh P. N. Rao,et al. Learning Shared Latent Structure for Image Synthesis and Robotic Imitation , 2005, NIPS.
[11] Carl E. Rasmussen,et al. Assessing Approximations for Gaussian Process Classification , 2005, NIPS.
[12] Carl E. Rasmussen,et al. A Unifying View of Sparse Approximate Gaussian Process Regression , 2005, J. Mach. Learn. Res..
[13] David J. Fleet,et al. Gaussian Process Dynamical Models , 2005, NIPS.
[14] Tong Zhang,et al. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , 2005, J. Mach. Learn. Res..
[15] Yee Whye Teh,et al. Semiparametric latent factor models , 2005, AISTATS.
[16] Joaquin Quiñonero Candela,et al. Local distance preservation in the GP-LVM through back constraints , 2006, ICML.
[17] Rajat Raina,et al. Constructing informative priors using transfer learning , 2006, ICML.
[18] Neil D. Lawrence,et al. Gaussian Processes and the Null-Category Noise Model , 2006, Semi-Supervised Learning.
[19] Edwin V. Bonilla,et al. Multi-task Gaussian Process Prediction , 2007, NIPS.
[20] Neil D. Lawrence,et al. Learning for Larger Datasets with the Gaussian Process Latent Variable Model , 2007, AISTATS.
[21] Trevor Darrell,et al. Discriminative Gaussian process latent variable model for classification , 2007, ICML '07.
[22] Edwin V. Bonilla,et al. Kernel Multi-task Learning using Task-specific Features , 2007, AISTATS.
[23] Neil D. Lawrence,et al. Hierarchical Gaussian process latent variable models , 2007, ICML '07.
[24] Meila,et al. Kernel multitask learning using task-specific features , 2007 .