Results 41 to 50 of about 67,782 (253)
A semi-Markov model for stroke with piecewise-constant hazards in the presence of left, right and interval censoring. [PDF]
, 2013 This paper presents a parametric method of fitting semi-Markov models with piecewise-constant hazards in the presence of left, right and interval censoring. We investigate transition intensities in a three-state illness-death model with no recovery.
Kapetanakis, V +5 more
core +1 more source
Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models [PDF]
Journal of Computational and Graphical Statistics, 2019 Bayesian inference for coupled hidden Markov models frequently relies on data augmentation techniques for imputation of the hidden state processes. Considerable progress has been made on developing such techniques, mainly using Markov chain Monte Carlo (MCMC) methods.
Touloupou, Panayiota +2 more
openaire +3 more sources
Anomalous event detection using a semi-two dimensional hidden Markov model [PDF]
, 2012 The rapid increase in the deployment of CCTV systems has led to a greater demand for algorithms that are able to process incoming video feeds. These algorithms are designed to extract information of interest for human operators.
Nallaivarothayan, Hajananth +9 more
core +1 more source
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
doaj +1 more source
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
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
Implied distributions in multiple change point problems [PDF]
, 2011 A method for efficiently calculating exact marginal, conditional and joint distributions for change points defined by general finite state Hidden Markov Models is proposed.
Aston, John A. D. +5 more
core +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
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 ...
openaire +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