A New Modular Strategy For Action Sequence Automation Using Neural Networks And Hidden Markov Models

E-ISSN： 2160-9799|2|3|18-35

ISSN： 2160-9772

Source： International Journal of System Dynamics Applications (IJSDA), Vol.2, Iss.3, 2013-07, pp. : 18-35

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Analysis of swallowing sounds using hidden Markov models

By Aboofazeli Mohammad

Medical & Biological Engineering & Computing, Vol. 46, Iss. 4, 2008-04 ,pp. : 307-314

Springer Publishing Company

Access to resources Recommend Favorite

Sequence classification via large margin hidden Markov models

By Kim Minyoung

Data Mining and Knowledge Discovery, Vol. 23, Iss. 2, 2011-09 ,pp. : 322-344

Springer Publishing Company

Access to resources Recommend Favorite

Factorial Hidden Markov Models

By Ghahramani Z.

Machine Learning, Vol. 29, Iss. 2-3, 1997-11 ,pp. : 245-273

Springer Publishing Company

Access to resources Recommend Favorite

Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs

By Bouchaffra D. Tan J.

Data Mining and Knowledge Discovery, Vol. 12, Iss. 1, 2006-01 ,pp. : 79-96

Springer Publishing Company

Access to resources Recommend Favorite

Using interesting sequences to interactively build Hidden Markov Models

By Jaroszewicz Szymon

Data Mining and Knowledge Discovery, Vol. 21, Iss. 1, 2010-07 ,pp. : 186-220

Springer Publishing Company

Access to resources Recommend Favorite