HIERARCHICAL LATENT VARIABLE MODEL ESTIMATION DEVICE, HIERARCHICAL LATENT VARIABLE MODEL ESTIMATION METHOD, AND RECORDING MEDIUM
Patent №
US 8,909,582
Granted
2014-12-09
Filed 2013
Owner
NEC CORPORATION
Lab
—
AI components
5
ml · vision · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
13758267
A hierarchical latent structure setting unit 81 sets a hierarchical latent structure that is a structure in which latent variables are represented by a tree structure and components representing probability models are located at nodes of a lowest level of the tree structure. A variational probability computation unit 82 computes a variational probability of a path latent variable that is a latent variable included in a path linking a root node to a target node in the hierarchical latent structure. A component optimization unit 83 optimizes each of the components for the computed variational probability. A gating function optimization unit 84 optimizes a gating function model that is a model for determining a branch direction according to the multivariate data in a node of the hierarchical latent structure, on the basis of the variational probability of the latent variable in the node.
AI classification
Ownership
NEC CORPORATION
assignment · 305420212
Assignors
ETO, RIKI, FUJIMAKI, RYOHEI, MORINAGA, SATOSHI
On an employer assignment, the assignors are typically the inventors.