Results 11 to 20 of about 8,467,026 (293)
Logical Hidden Markov Models [PDF]
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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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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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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Factorial Hidden Markov Models [PDF]
Machine Learning, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zoubin Ghahramani, Michael I. Jordan
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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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Topological Hidden Markov Models
J. Mach. Learn. Res., 2022 32 pages, 8 figures, 6 ...
Adam B. Kashlak +2 more
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Hidden Markov Models with Momentum
CoRR, 2022 Momentum is a popular technique for improving convergence rates during gradient descent. In this research, we experiment with adding momentum to the Baum-Welch expectation-maximization algorithm for training Hidden Markov Models. We compare discrete Hidden Markov Models trained with and without momentum on English text and malware opcode data.
Andrew Miller +2 more
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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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Real-Time Assembly Support System with Hidden Markov Model and Hybrid Extensions
Mathematics, 2022 This paper presents a context-aware adaptive assembly assistance system meant to support factory workers by embedding predictive capabilities. The research is focused on the predictor which suggests the next assembly step.
Arpad Gellert +4 more
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EURASIP Journal on Audio, Speech, and Music Processing, 2010 Speaker identification performance is almost perfect in neutral talking environments. However, the performance is deteriorated significantly in shouted talking environments.
Ismail Shahin
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