Results 1 to 10 of about 22,587 (196)
AA-HMM: An Anti-Adversarial Hidden Markov Model for Network-Based Intrusion Detection
Applied Sciences, 2018 In the field of network intrusion, malware usually evades anomaly detection by disguising malicious behavior as legitimate access. Therefore, detecting these attacks from network traffic has become a challenge in this an adversarial setting.
Chongya Song, Alexander Pons, Kang Yen
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PLoS ONE, 2022 This paper presents a Long Short Term Memory Recurrent Neural Network and Hidden Markov Model (LSTM-HMM) to predict China's Gross Domestic Product (GDP) fluctuation state within a rolling time window.
Junhuan Zhang, Jiaqi Wen, Zhen Yang
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Hidden Markov Models (HMMs) στην βιοπληροφορική [PDF]
, 2021 Στην εποχή της γονιδιωματικής, τα μοντέλα ανάλυσης δεδομένων και οι αλγόριθμοι που παρέχουν τα μέσα για τη μείωση των μεγάλων σύνθετων συνόλων σε σημαντικές πληροφορίες είναι αναπόσπαστα για την περαιτέρω κατανόηση των σύνθετων βιολογικών συστημάτων. Τα κρυφά μαρκοβιανά μοντέλα (Hidden Markov Models) περιλαμβάνουν μια τέτοια τεχνική ανάλυσης δεδομένων ...
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Broad Phonetic Classification of ASR using Visual Based Features [PDF]
The Egyptian Journal of Language Engineering, 2020 : This paper presents a novel method of classifying speech phonemes. Four hybrid techniques based on the acoustic-phonetic approach and pattern recognition approach are used to emphasize the principle idea of this research.
Doaa Lehabik +3 more
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A Hybrid Hidden Markov Model for Pipeline Leakage Detection
Applied Sciences, 2021 In this paper, a deep neural network hidden Markov model (DNN-HMM) is proposed to detect pipeline leakage location. A long pipeline is divided into several sections and the leakage occurs in different section that is defined as different state of hidden ...
Mingchi Zhang, Xuemin Chen, Wei Li
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Research on HMM based link prediction method in heterogeneous network
Tongxin xuebao, 2022 In order to solve the problem that incomplete mining of structural information and semantic information in heterogeneous networks, a link prediction method combining meta-path-based analysis and hidden Markov model was proposed for link prediction of ...
Rong QIAN +4 more
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Variational Beta Process Hidden Markov Models with Shared Hidden States for Trajectory Recognition
Entropy, 2021 Hidden Markov model (HMM) is a vital model for trajectory recognition. As the number of hidden states in HMM is important and hard to be determined, many nonparametric methods like hierarchical Dirichlet process HMMs and Beta process HMMs (BP-HMMs) have ...
Jing Zhao +3 more
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The Application of Baum-Welch Algorithm in Multistep Attack
The Scientific World Journal, 2014 The biggest difficulty of hidden Markov model applied to multistep attack is the determination of observations. Now the research of the determination of observations is still lacking, and it shows a certain degree of subjectivity.
Yanxue Zhang, Dongmei Zhao, Jinxing Liu
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HMM-MIO: An enhanced hidden Markov model for action recognition [PDF]
CVPR 2011 WORKSHOPS, 2011 Generative models can be flexibly employed in a variety of tasks such as classification, detection and segmentation thanks to their explicit modelling of likelihood functions. However, likelihood functions are hard to model accurately in many real cases.
Óscar Pérez Concha +3 more
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Automatic Classification and Analysis of Music Multimedia Combined with Hidden Markov Model
Advances in Multimedia, 2021 Music multimedia is one of the more popular types of digital music. This article is based on the hidden Markov model (HMM) and proposed this kind of music multimedia automatic classification method.
Yanjiao Chen
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