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Nonparametric Location Estimation for Probability Density Function Learning.

, , and . IWANN (1), volume 5517 of Lecture Notes in Computer Science, page 106-113. Springer, (2009)

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Nonparametric Location Estimation for Probability Density Function Learning., , and . IWANN (1), volume 5517 of Lecture Notes in Computer Science, page 106-113. Springer, (2009)Self-organization of Probabilistic PCA Models., , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 211-218. Springer, (2007)Automatic Model Selection for Probabilistic PCA., , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 127-134. Springer, (2007)Global-local learning strategies in probabilistic principal components analysis., , , , and . Artificial Intelligence and Soft Computing, page 46-51. IASTED/ACTA Press, (2006)Soft Clustering for Nonparametric Probability Density Function Estimation., , , and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 707-716. Springer, (2007)Dynamic Selection of Model Parameters in Principal Components Analysis Neural Networks., , , and . ECAI, page 618-622. IOS Press, (2004)Local Selection of Model Parameters in Probability Density Function Estimation., , , , and . ICANN (2), volume 4132 of Lecture Notes in Computer Science, page 292-301. Springer, (2006)Robust Nonparametric Probability Density Estimation by Soft Clustering., , , and . ICANN (1), volume 5163 of Lecture Notes in Computer Science, page 155-164. Springer, (2008)Dynamic topology learning with the probabilistic self-organizing graph., , , and . Neurocomputing, 74 (16): 2633-2648 (2011)Intrinsic Dimensionality Maps with the PCASOM., , , and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 750-757. Springer, (2005)