Evaluation of a dynamic classification method for multimodal ambiguities based on Hidden Markov Models-Reference-Cited by-同舟云学术

Evaluation of a dynamic classification method for multimodal ambiguities based on Hidden Markov Models

Published:2020-05-23 Issue:2 Volume:12 Page:377-395
ISSN:1868-6478
Container-title:Evolving Systems
language:en
Short-container-title:Evolving Systems

Author:

Grifoni Patrizia,Caschera Maria Chiara^ORCID,Ferri Fernando

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12530-020-09344-3.pdf

Reference70 articles.

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2. An A (2003) Learning classification rules from data. Comput Math Appl 45:737–748

3. Angelov P, Zhou X (2008) On line learning fuzzy rule-based system structure from data streams. In: IEEE international conference on fuzzy systems (IEEE World Congress on Computational Intelligence), Hong Kong, 2008, pp 915–922.

4. Antal M (2004) Speaker independent phoneme classification in continuous speech. Stud Univ Babes-Bolyal Inform 49(2):55–64

5. Aoki PM, Woodruff A (2005) Making space for stories: ambiguity in the design of personal communication systems. Proc CHI 2005:181–190

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