Efficient combinatorial optimization by quantum-inspired parallel annealing in analogue memristor crossbar
US-2024419761-A1 · Dec 19, 2024 · US
US9043261B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9043261-B2 |
| Application number | US-201213614997-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 13, 2012 |
| Priority date | May 31, 2012 |
| Publication date | May 26, 2015 |
| Grant date | May 26, 2015 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
To provide a latent variable model estimation apparatus capable of implementing the model selection at high speed even if the number of model candidates increases exponentially as the latent state number and the kind of the observation probability increase. A variational probability calculating unit 71 calculates a variational probability by maximizing a reference value that is defined as a lower bound of an approximation amount, in which Laplace approximation of a marginalized log likelihood function is performed with respect to an estimator for a complete variable. A model estimation unit 72 estimates an optimum latent variable model by estimating the kind and a parameter of the observation probability with respect to each latent state. A convergence determination unit 73 determines whether a reference value, which is used by the variational probability calculating unit 71 to calculate the variational probability, converges.
Opening claim text (preview).
What is claimed is: 1. A latent variable model estimation apparatus comprising: a variational probability calculating unit implemented at least by a hardware including a processor and that calculates a variational probability by maximizing a reference value, the reference value being defined as a lower bound of an approximation amount in which Laplace approximation of a marginalized log likelihood function is performed with respect to an estimator for a complete variable; a mode…
Related publications grouped by family.
Free tools are coming soon. Tell us what you want to track and we'll notify you.
Answers are generated from the same data shown on this page.