Results 11 to 20 of about 7,474,817 (334)
Applications of hidden Markov models in financial modelling [PDF]
, 2008 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel University.Various models driven by a hidden Markov chain in discrete or continuous time are developed to capture the stylised features of market variables whose ...
Erlwein, Christina
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Hidden Markov Modeling with HMMTeacher
PLOS Computational Biology, 2022 Is it possible to learn and create a first Hidden Markov Model (HMM) without programming skills or understanding the algorithms in detail? In this concise tutorial, we present the HMM through the 2 general questions it was initially developed to answer and describe its elements.
Camilo Fuentes-Beals +2 more
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Visual tracking using interactive factorial hidden Markov models
IET Signal Processing, 2021 The authors present a novel tracking algorithm based on a factorial hidden Markov model (FHMM) that can utilise the structured information of a target.
Jin Wook Paeng, Junseok Kwon
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An agent-based implementation of hidden Markov models for gas turbine condition monitoring [PDF]
, 2014 This paper considers the use of a multi-agent system (MAS) incorporating hidden Markov models (HMMs) for the condition monitoring of gas turbine (GT) engines.
Twiddle, John +3 more
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Topological Hidden Markov Models
J. Mach. Learn. Res., 2022 32 pages, 8 figures, 6 ...
Adam B. Kashlak +2 more
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ToPS: a framework to manipulate probabilistic models of sequence data. [PDF]
PLoS Computational Biology, 2013 Discrete Markovian models can be used to characterize patterns in sequences of values and have many applications in biological sequence analysis, including gene prediction, CpG island detection, alignment, and protein profiling.
André Yoshiaki Kashiwabara +5 more
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An Introduction to Hidden Markov Models [PDF]
Current Protocols in Bioinformatics, 2007 AbstractThis unit introduces the concept of hidden Markov models in computational biology. It describes them using simple biological examples, requiring as little mathematical knowledge as possible. The unit also presents a brief history of hidden Markov models and an overview of their current applications before concluding with a discussion of their ...
Schuster-Böckler, B, Bateman, A
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Bayesian fusion of hidden Markov models for understanding bimanual movements [PDF]
, 2004 Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and human-computer interaction. A part of this can be the recognition of movements in which the two hands move simultaneously to do something or ...
A. Sutherland +5 more
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Frontiers in Ecology and Evolution, 2021 The study of animal behavioral states inferred through hidden Markov models and similar state switching models has seen a significant increase in popularity in recent years.
Giada Sacchi, Ben Swallow
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Journal of Artificial Intelligence Research, 2006 Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characters. This note formally introduces LOHMMs and presents solutions to the three central inference problems for LOHMMs: evaluation, most likely hidden state sequence and ...
Kersting, K., De Raedt, Luc, Raiko, T.
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