Open AccessMonte Carlo Filtering Using Kernel Embedding of Distributions
Author(s) -
Motonobu Kanagawa,
Yu Nishiyama,
Arthur Gretton,
Kenji Fukumizu
Publication year - 2014
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v28i1.8984
Subject(s) - kernel (algebra) , monte carlo method , kernel embedding of distributions , kernel smoother , embedding , variable kernel density estimation , algorithm , computer science , kernel method , hybrid monte carlo , kernel principal component analysis , particle filter , monte carlo method in statistical physics , reproducing kernel hilbert space , artificial intelligence , mathematics , markov chain monte carlo , radial basis function kernel , hilbert space , kalman filter , mathematical analysis , discrete mathematics , statistics , support vector machine