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within Probability and Statistics in Computer Science Remove this filter Manar Amayri Remove this filter

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  1. No Access

    Chapter

    A Novel Continuous Hidden Markov Model for Modeling Positive Sequential Data

    As positive data are often encountered in a variety of real-life applications, research on modeling positive data vectors has increasingly drawn attention. The focus of this chapter is to tackle the problem of...

    Wenjuan Hou, Wentao Fan, Manar Amayri… in Hidden Markov Models and Applications (2022)

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    Chapter

    Bounded Asymmetric Gaussian Mixture-Based Hidden Markov Models

    Hidden Markov models (HMMs) have been widely applied in machine learning to model diversified and heterogeneous time series data. In this chapter, integration of the bounded asymmetric Gaussian mixture model (...

    Zixiang **an, Muhammad Azam, Manar Amayri… in Hidden Markov Models and Applications (2022)

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    Book

    Hidden Markov Models and Applications

    Prof. Nizar Bouguila, Dr. Wentao Fan… in Unsupervised and Semi-Supervised Learning (2022)

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    Chapter

    Multivariate Beta-Based Hidden Markov Models Applied to Human Activity Recognition

    Over the past decades, human activity recognition has become an attention-grabbing topic of research. Various algorithms have been proposed and applied for activity recognition. Proposing a robust method is st...

    Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri… in Hidden Markov Models and Applications (2022)