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

Machine learning1.00
Planning1.00
Knowledge representation1.00
AI hardware0.96
Vision0.60
Natural language0.11
Evolutionary computation0.07
Speech0.00

Ownership

NEC CORPORATION

assignment · 305420212

Assignors

ETO, RIKI, FUJIMAKI, RYOHEI, MORINAGA, SATOSHI

On an employer assignment, the assignors are typically the inventors.

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