Is a
Patent attributes
Patent Applicant
Current Assignee
Patent Jurisdiction
Patent Number
Date of Patent
August 27, 2019
Patent Application Number
14932825
Date Filed
November 4, 2015
Patent Citations Received
Patent Primary Examiner
Patent abstract
Herein is described an unsupervised learning method to discover topics and reduce the dimensionality of documents by designing and simulating a stochastic cellular automaton. A key formula that appears in many inference methods for LDA is used as the local update rule of the cellular automaton. Approximate counters may be used to represent counter values being tracked by the inference algorithms. Also, sparsity may be used to reduce the amount of computation needed for sampling a topic for particular words in the corpus being analyzed.
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