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Titlebook: Hidden Markov Models and Applications; Nizar Bouguila,Wentao Fan,Manar Amayri Book 2022 The Editor(s) (if applicable) and The Author(s), u

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nti-war protests in history, these rallies clearly demonstrated a global lack of popular support for the Iraq War on an unprecedented scale. Yet, unlike the 1963 March on Washington for Jobs and Freedom, the governments of the American-led ‘Coalition of the Willing’ ignored the performing bodies of
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Bounded Asymmetric Gaussian Mixture-Based Hidden Markov Models,egration of the bounded asymmetric Gaussian mixture model (BAGMM) into the framework of HMM is proposed, which uses BAGMM to model the emission probabilities, which are also known as observation probabilities. The transition probabilities of HMM must be discrete, but emission probabilities can be mo
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Using HMM to Model Neural Dynamics and Decode Useful Signals for Neuroprosthetic Control,n this chapter, we first provide the rationale for the application of mathematical methods that analyse neural signals with a population approach. Among these techniques, Hidden Markov Models (HMMs) have been extensively applied. We then presented the key concepts of HMMs and the main problems durin
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