Since the success of Residual Network(ResNet), many of architectures of
...
In many research fields in artificial intelligence, it has been shown th...
Tensor decomposition is now being used for data analysis, information
co...
This article is a review of theoretical advances in the research field o...
In statistical inference, uncertainty is unknown and all models are wron...
Multinomial mixtures are widely used in the information engineering fiel...
Bayesian inference is a widely used statistical method. The free energy ...
A Poisson mixture is one of the practically important models in computer...
The test of homogeneity for normal mixtures has been conducted in divers...
A normal mixture is one of the most important models in statistics, in t...
Stochastic matrix factorization (SMF) can be regarded as a restriction o...
Prior design is one of the most important problems in both statistics an...
A statistical model or a learning machine is called regular if the map t...