Polynomial Learning of Distribution Families
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[1] Jon Feldman,et al. PAC Learning Axis-Aligned Mixtures of Gaussians with No Separation Assumption , 2006, COLT.
[2] Dimitris Achlioptas,et al. On Spectral Learning of Mixtures of Distributions , 2005, COLT.
[3] Seth Sullivant,et al. Lectures on Algebraic Statistics , 2008 .
[4] Mikhail Belkin,et al. Polynomial Learning of Distribution Families , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.
[5] A. F. Smith,et al. Statistical analysis of finite mixture distributions , 1986 .
[6] Sanjoy Dasgupta,et al. Learning Mixtures of Gaussians using the k-means Algorithm , 2009, ArXiv.
[7] Sanjeev Arora,et al. Learning mixtures of arbitrary gaussians , 2001, STOC '01.
[8] Mikhail Belkin,et al. Learning Gaussian Mixtures with Arbitrary Separation , 2009, ArXiv.
[9] Santosh S. Vempala,et al. A spectral algorithm for learning mixtures of distributions , 2002, The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings..
[10] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1967 .
[11] Satish Rao,et al. Learning Mixtures of Product Distributions Using Correlations and Independence , 2008, COLT.
[12] Geoffrey J. McLachlan,et al. Mixture models : inference and applications to clustering , 1989 .
[13] Ankur Moitra,et al. Settling the Polynomial Learnability of Mixtures of Gaussians , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.
[14] H. Teicher. Identifiability of Finite Mixtures , 1963 .
[15] J. Feldman,et al. Learning mixtures of product distributions over discrete domains , 2005, 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05).
[16] Satish Rao,et al. Beyond Gaussians: Spectral Methods for Learning Mixtures of Heavy-Tailed Distributions , 2008, COLT.
[17] Santosh S. Vempala,et al. The Spectral Method for General Mixture Models , 2008, SIAM J. Comput..
[18] Mikhail Belkin,et al. Toward Learning Gaussian Mixtures with Arbitrary Separation , 2010, COLT.
[19] Sanjoy Dasgupta,et al. Learning mixtures of Gaussians , 1999, 40th Annual Symposium on Foundations of Computer Science (Cat. No.99CB37039).
[20] Adam Tauman Kalai,et al. Efficiently learning mixtures of two Gaussians , 2010, STOC '10.
[21] Jon M. Kleinberg,et al. On learning mixtures of heavy-tailed distributions , 2005, 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05).
[22] S. Basu,et al. Algorithms in real algebraic geometry , 2003 .
[23] K. Pearson. Contributions to the Mathematical Theory of Evolution , 1894 .
[24] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1951 .
[25] B. Lindsay. Mixture models : theory, geometry, and applications , 1995 .
[26] Santosh S. Vempala,et al. Isotropic PCA and Affine-Invariant Clustering , 2008, 2008 49th Annual IEEE Symposium on Foundations of Computer Science.
[27] Sanjoy Dasgupta,et al. A Two-Round Variant of EM for Gaussian Mixtures , 2000, UAI.