Infinite sparse factor analysis and infinite independent components analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4666 LNCS, Issue , 2007, Pages 381-388

  Knowles, David ^a   Ghahramani, Zoubin ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; LAPLACE EQUATION; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; PROBLEM SOLVING;

DATA POINTS; SPARSE FACTOR ANALYSIS; SPARSE REPRESENTATION;

BAYESIAN NETWORKS;

EID: 38149041041     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74494-8_48     Document Type: Conference Paper

References (8)

1. Hyvärinen, A.: Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks 10(3), 626-634 (1999)
2. Richardson, S., Green, P.J.: On bayesian analysis of mixtures with an unknown number of components. Journal of the Royal Statistical Society 59, 731-792 (1997)
3. Makeig, S., Bell, A.J., Jung, T.P., Sejnowski, T.J.: Independent component analysis of electroencephalographic data. Advances in Neural Information Processing Systems 8, 145-151 (1996)
4. Martoglio, A.M., Miskin, J.W., Smith, S.K., MacKay, D.J.C.: A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer. Bioinformatics 18(12), 1617-1624 (2002)
5. Griffiths, T., Ghahramani, Z.: Infinite latent feature models and the indian buffet process. Technical Report 1, Gatsby Computational Neuroscience Unit (2005)
6. Ghahramani, Z., Griffiths, T., Sollich, P.: Bayesian nonparametric latent feature models. In: Bayesian Statistics 8, Oxford University Press, Oxford (2007)
7. Meeds, E., Ghahramani, Z., Neal, R., Roweis, S.: Modeling dyadic data with binary latent factors. In: Neural Information Processing Systems, vol. 19 (2006)
8. Amari, S., Cichocki, A., Yang, H.H.: A new learning algorithm for blind signal separation. In: Advances in Neural Information Processing Systems, vol. 8, pp. 757-763. The MIT Press, Cambridge (1996)