Systems and methods for recognizing, classifying, recalling and analyzing information utilizing ssm sequence models

作者: Volodymyr Sukhoy , Alexander Stoytchev

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摘要: A biologically-inspired model for sequence representation, method of construction and application such models, systems incorporating same are provided. The captures the statistical nature sequences uses that encoding, recognition, recall. can be trained in real time, has few tunable parameters, is highly parallelizable, which ensures it scale up to very large problems. Applications word speech machine leaning, robotics, computational bioinformatics, genetics datasets, other processing pipelines

参考文章(6)
Marvin B. Herscher, Robert B. Cox, Thomas B. Martin, Word recognition apparatus and method ,(1974)
M. Ostendorf, A. Kannan, S. Austin, O. Kimball, R. Schwartz, J. R. Rohlicek, Integration of diverse recognition methodologies through reevaluation of N-best sentence hypotheses human language technology. pp. 83- 87 ,(1991) , 10.3115/112405.112416
Curtis R. Miles, Jay W. Benayon, Alternate task processing time modeling ,(2007)