Results 101 to 110 of about 73,803 (311)
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
EntropyWe define an evolving in-time Bayesian neural network called a Hidden Markov Neural Network, which addresses the crucial challenge in time-series forecasting and continual learning: striking a balance between adapting to new data and appropriately ...
Lorenzo Rimella, Nick Whiteley
doaj +1 more source
Forecasting New Cases of Bipolar Disorder Using Poisson Hidden Markov Model
International Clinical Neuroscience Journal, 2018 Background: Bipolar disorder (BD) is a major public health problem. In time series count data there may be over dispersion, and serial dependency. In such situation some models that can consider the dependency are needed. The purpose current research was
Behnaz Alafchi +4 more
doaj +1 more source
Hidden Markov Models with Generalised Emission Distribution for the Analysis of High-Dimensional, Non-Euclidean Data [PDF]
, 2011 iAbstract Hidden Markov models (HMM) are tremendously popular for the analysis of sequential data, such as biological sequences, speech recognition as well as ges-ture recognition.
Pfundstein, Georg, Georg Pfundstein
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Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Canadian Journal of Statistics, EarlyView.Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Journal of Electrical Systems and Information Technology, 2017 This paper presents an analytical approach of an offline handwritten Arabic text recognition system. It is based on the Hidden Markov Models (HMM) Toolkit (HTK) without explicit segmentation. The first phase is preprocessing, where the data is introduced
El Moubtahij Hicham +2 more
doaj +1 more source
Artificially intelligent accompaniment using Hidden Markov Models to model musical structure [PDF]
, 2008 Background in Music Performance and Accompaniment. Musical accompanists may not always be available during practice, or the available accompanist may not have the technical ability necessary.
Alan Smaill (16064372) +3 more
core
, 2001 Previously, the application of a continuous time hidden Markov model with discrete states was used to model geriatric inpatient behaviour. This was itself built on research using a discrete deterministic model to represent the flow of geriatric patients ...
Christodoulou, G., Taylor, G.J.
core +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
Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA
Communications on Pure and Applied Mathematics, EarlyView.ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous +2 more
wiley +1 more source