Prior Knowledge and Sparse Methods for Convolved Multiple Outputs Gaussian Processes

作者: Michalis K. Titsias , Neil D. Lawrence , David Luengo , Mauricio A. Álvarez

DOI:

关键词:

摘要:

参考文章(7)
Neil D. Lawrence, David Luengo, Mauricio A. Álvarez, Latent Force Models international conference on artificial intelligence and statistics. pp. 9- 16 ,(2009)
Carl Edward Rasmussen, Joaquin Quiñonero-Candela, A Unifying View of Sparse Approximate Gaussian Process Regression Journal of Machine Learning Research. ,vol. 6, pp. 1939- 1959 ,(2005) , 10.5555/1046920.1194909
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattray, Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities Bioinformatics. ,vol. 22, pp. 2775- 2781 ,(2006) , 10.1093/BIOINFORMATICS/BTL473
Alejandro Colman-Lerner, Tina E. Chin, Roger Brent, Yeast Cbk1 and Mob2 activate daughter-specific genetic programs to induce asymmetric cell fates. Cell. ,vol. 107, pp. 739- 750 ,(2001) , 10.1016/S0092-8674(01)00596-7
Zoubin Ghahramani, Edward Snelson, Sparse Gaussian Processes using Pseudo-inputs neural information processing systems. ,vol. 18, pp. 1257- 1264 ,(2005)
Paul T Spellman, Gavin Sherlock, Michael Q Zhang, Vishwanath R Iyer, Kirk Anders, Michael B Eisen, Patrick O Brown, David Botstein, Bruce Futcher, None, Comprehensive Identification of Cell Cycle–regulated Genes of the Yeast Saccharomyces cerevisiae by Microarray Hybridization Molecular Biology of the Cell. ,vol. 9, pp. 3273- 3297 ,(1998) , 10.1091/MBC.9.12.3273
Kian M. Chai, Christopher Williams, Edwin Bonilla, Multi-task Gaussian Process Prediction neural information processing systems. ,vol. 20, pp. 153- 160 ,(2007)