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A Hierarchical Latent Variable Model for Data Visualization

, and . NCRG/96/028. Neural Computing Research Group, Department of Computer Science and Applied Mathematics, Aston University, Birmingham, UK, (1998)

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Pattern Recognition and Machine Learning. Springer-Verlag, New York, (2008)Mixture Representations for Inference and Learning in Boltzmann Machines., , and . UAI, page 320-327. Morgan Kaufmann, (1998)Regression with Input-dependent Noise: A Gaussian Process Treatment., , and . NIPS, page 493-499. The MIT Press, (1997)Neural networks for pattern recognition. Oxford University Press, (1996)A Hierarchical Latent Variable Model for Data Visualization, and . IEEE Transactions on Pattern Analysis and Machine Intelligence, (in press)Embracing Uncertainty: Applied Machine Learning Comes of Age.. ECML/PKDD (1), volume 6911 of Lecture Notes in Computer Science, page 4. Springer, (2011)Bayesian Inference of Noise Levels in Regression., and . ICANN, volume 1112 of Lecture Notes in Computer Science, page 59-64. Springer, (1996)Object Recognition via Local Patch Labelling., and . Deterministic and Statistical Methods in Machine Learning, volume 3635 of Lecture Notes in Computer Science, page 1-21. Springer, (2004)Exact Calculation of the Hessian Matrix for the Multi-layer Perceptron. (1992)GTM: The Generative Topographic Mapping., , and . Neural Comput., 10 (1): 215-234 (1998)