Patent · US Active

Adding prototype information into probabilistic models

US8010341B2 · kind B2 · utility

11Cited by

8References

20Claims

0Family size

Assignee

Microsoft Corporation · US

Inventors

Kannan Achan · Saratoga, US
Moises Goldszmidt · Palo Alto, US
Lev Ratinov · New York, US

Key dates

Filing date	Sep 13, 2007
Grant date	Aug 30, 2011
Priority date	—
Expiry date	Jun 28, 2030

Classification

Technology area (CPC G)Physics
CPC primaryG06F40/216
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Mechanisms are disclosed for incorporating prototype information into probabilistic models for automated information processing, mining, and knowledge discovery. Examples of these models include Hidden Markov Models (HMMs), Latent Dirichlet Allocation (LDA) models, and the like. The prototype information injects prior knowledge to such models, thereby rendering them more accurate, effective, and efficient. For instance, in the context of automated word labeling, additional knowledge is encoded into the models by providing a small set of prototypical words for each possible label. The net result is that words in a given corpus are labeled and are therefore in condition to be summarized, identified, classified, clustered, and the like.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.