Results 51 to 60 of about 116,234 (262)
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
doaj +1 more source
Partially-Hidden Markov Models. [PDF]
, 2012 International audienceThis paper addresses the problem of Hidden Markov Models (HMM) training and inference when the training data are composed of feature vectors plus uncertain and imprecise labels.
Denoeux, Thierry +2 more
core +6 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Graphical models for social behavior modeling in face-to face interaction [PDF]
, 2016 International audienceThe goal of this paper is to model the coverbal behavior of a subject involved in face-to-face social interactions. For this end, we present a multimodal behavioral model based on a Dynamic Bayesian Network (DBN).
Bailly, Gérard +3 more
core +2 more sources
Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition
International Journal of Distributed Sensor Networks, 2018 Recognition of human activities is getting into the limelight among researchers in the field of pervasive computing, ambient intelligence, robotic, and monitoring such as assistive living, elderly care, and health care.
Yang Sung-Hyun +3 more
doaj +1 more source
Inferring broken detailed balance in the absence of observable currents [PDF]
, 2019 Identifying dissipation is essential for understanding the physical mechanisms underlying nonequilibrium processes. {In living systems, for example, the dissipation is directly related to the hydrolysis of fuel molecules such as adenosine triphosphate ...
Bisker, Gili +3 more
core +3 more sources
MCMC implementation for Bayesian hidden semi-Markov models with illustrative applications [PDF]
, 2014 Copyright © Springer 2013. The final publication is available at Springer via http://dx.doi.org/10.1007/s11222-013-9399-zHidden Markov models (HMMs) are flexible, well established models useful in a diverse range of applications.
A. Gelman +44 more
core +1 more source
Artificial Intelligence, 2010 AbstractAs an extension to the popular hidden Markov model (HMM), a hidden semi-Markov model (HSMM) allows the underlying stochastic process to be a semi-Markov chain. Each state has variable duration and a number of observations being produced while in the state. This makes it suitable for use in a wider range of applications.
openaire +1 more source