Mixture density estimation

Advances in Neural Information Processing Systems

Volumn , Issue , 2000, Pages 279-285

  Li, Jonathan Q ^a   Barron, Andrew R ^a  

^a YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RADIAL BASIS FUNCTION NETWORKS; RISK PERCEPTION;

CONVEX COMBINATIONS; DENSITY ESTIMATION; FUNCTION FITTING; GAUSSIAN MIXTURES; ITERATIVE IMPROVEMENTS; MINIMUM DESCRIPTION LENGTH PRINCIPLE; SIGMOIDAL NEURAL NETWORKS; SIMPLE EXPRESSION;

PROBABILITY DENSITY FUNCTION;

EID: 84898948162     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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2. Barron, Andrew (1994) Approximation and Estimation Bounds for Artificial Neural Networks. Machine Learning 14: 115-133.
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11. Dasgupta, Sanjoy (1999) Learning Mixtures of Gaussians. Proc. IEEE Conf. on Foundations of Computer Science, 634-644.