Results 31 to 40 of about 15,765,709 (217)
Semi-Markov and hidden semi-Markov models of energy systems [PDF]
E3S Web of Conferences, 2018 The problem of information control systems creation for energy systems and transition to intelligent control and engineering is one of the important problems of reliability and efficiency theory for energy systems. The solution of this problem is possible based on construction of mathematical models concerning different aspects of these systems ...
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Computational Tonality Estimation: Signal Processing and Hidden Markov Models [PDF]
, 2009 PhDThis thesis investigates computational musical tonality estimation from an audio signal. We present a hidden Markov model (HMM) in which relationships between chords and keys are expressed as probabilities of emitting observable chords from a hidden
Noland, Katy C
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Machines, 2018 This work presents a method to improve the diagnostic performance of empirical classification system (ECS), which is used to estimate the degradation state of components based on measured signals.
Francesco Cannarile +4 more
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Learning Evolutionary Stages with Hidden Semi-Markov Model for Predicting Social Unrest Events
Discrete Dynamics in Nature and Society, 2020 Social unrest events are common happenings in modern society which need to be proactively handled. An effective method is to continuously assess the risk of upcoming social unrest events and predict the likelihood of these events. Our previous work built
Fengcai Qiao, Xin Zhang, Jinsheng Deng
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Sequential fraud detection by determining proper sequence length in payment cards using HMM [PDF]
AUT Journal of Modeling and Simulation, 2020 The use of bank cards has increased significantly in recent years. This has resulted in increasing the probability of internet payment card frauds and has highly imposed losses on customers, institutions and banks.
mehrdad kargari, gazaleh shahidi
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A Spectral Algorithm for Inference in Hidden Semi-Markov Models
CoRR, 2014 Hidden semi-Markov models (HSMMs) are latent variable models which allow latent state persistence and can be viewed as a generalization of the popular hidden Markov models (HMMs). In this paper, we introduce a novel spectral algorithm to perform inference in HSMMs.
Igor Melnyk, Arindam Banerjee 0001
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A Logical Hierarchical Hidden Semi-Markov Model for Team Intention Recognition
Discrete Dynamics in Nature and Society, 2015 Intention recognition is significant in many applications. In this paper, we focus on team intention recognition, which identifies the intention of each team member and the team working mode.
Shi-guang Yue +3 more
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A method to estimate the probability of strong winds occurrence using weather radar data
Wind Energy, 2022 Weather radars are capable of detecting and displaying storm‐related turbulence as well as precipitation rate with fine spatial resolution and reliable quality. Especially, weather radars can enable the detection of atmospheric conditions in the vicinity
Navid Chiniforoush +2 more
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Structured Inference for Recurrent Hidden Semi-markov Model [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 Segmentation and labeling for high dimensional time series is an important yet challenging task in a number of applications, such as behavior understanding and medical diagnosis. Recent advances to model the nonlinear dynamics in such time series data, has suggested to involve recurrent neural networks into Hidden Markov Models.
Hao Liu +5 more
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Speech Synthesis Based on Hidden Markov Models [PDF]
, 2013 This paper gives a general overview of hidden Markov model (HMM)-based speech synthesis, which has recently been demonstrated to be very effective in synthesizing speech.
Toda, T. +5 more
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