Results 81 to 90 of about 5,432,397 (302)
A Novel Robust Interacting Multiple Model Algorithm for Maneuvering Target Tracking
Advances in Electrical and Computer Engineering, 2017 In this paper, the state estimation problem for discrete-time jump Markov systems is considered. A minimax filtering technique, interacting multiple model algorithm based on game theory, is developed for discrete-time stochastic systems.
GHAZAL, M., DOUSTMOHAMMADI, A.
doaj +1 more source
Journal of Agricultural and Resource Economics, 2002 This study investigates the costs of subsidies for land retention and conversion, in addition to a policy that combines the incentives. A Markov model of forest and agricultural land use is estimated for the U.S. South Central region and used to simulate
Andrew J. Plantinga, Soeun Ahn
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Transposable Element–Driven PIEZO Mutation Enhances Locust Flight in Plateau Hypoxia
Advanced Science, EarlyView.Why transposable elements (TEs) persisted or expanded in genomes remains a mystery. Using integrated analysis of TE macro‐ and microevolution in locusts, our results showed that thousands of TE insertions promoted widespread adaptive variation. Subfamilies of candidate adaptive TEs amplified and reshaped species‐level genomic architecture.
Xuanzhao Li +8 more
wiley +1 more source
Theory and Inference for a Markov-Switching GARCH Model [PDF]
We develop a Markov-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process to another. The switching is governed by a hidden Markov chain. We provide sufficient conditions for geometric ergodicity
Jeroen V.K. Rombouts +2 more
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Unsupervised SAR image segmentation based on kernel TMFs with belief propagation
The Journal of Engineering, 2019 The triplet Markov field (TMF) model has achieved promising results in synthetic aperture radar (SAR) image segmentation. Focusing on the simple likelihood modelling of an SAR image and the effective optimisation of the TMF model, an unsupervised SAR ...
Lu Gan, Xiaoming Liu, Ziwei Li
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Robust Markov Decision Processes [PDF]
Markov decision processes (MDPs) are powerful tools for decision making in uncertain dynamic environments. However, the solutions of MDPs are of limited practical use due to their sensitivity to distributional model parameters, which are typically ...
Berç Rustem +2 more
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Advanced Science, EarlyView.Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Advanced Engineering Research, 2012 The issues concerning the potential application of Markov processes theory for efficient management decision making based on the production enterprise business modeling are considered.
Evgeniya R. Khabibullina
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On the entropy of a hidden markov process
International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 2004 We study the entropy rate of a hidden Markov process (HMP) defined by observing the output of a binary symmetric channel whose input is a first-order binary Markov process. Despite the simplicity of the models involved, the characterization of this entropy is a long standing open problem. By presenting the probability of a sequence under the model as a
Philippe Jacquet +2 more
openaire +4 more sources
Switching Spike Plasticity Shapes ACE2 Engagement Across SARS‐CoV‐2 Variants
Advanced Science, EarlyView.Conformational plasticity governs SARS‐CoV‐2 spike function and ACE2 recognition. Using high‐speed AFM and single‐molecule force spectroscopy, we analyzed the ancestral spike and nine variants, revealing progressive rigidification from Delta, variable plasticity in Omicron sublineages, and JN.1 compaction.
Sarah Stainer +17 more
wiley +1 more source