Results 101 to 110 of about 256,437 (324)
Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2017 A three-dimensional field with properties of stationary, normality and Markov process is considered. In the paper is considered a three-dimensional field, which has the properties of stationarity, normality, and process of Markov.
Александр Сергеевич Мазманишвили +1 more
doaj +1 more source
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting. [PDF]
Spat Stat, 2023 MacNab YC.
europepmc +1 more source
Relaxations for inference in restricted Boltzmann machines [PDF]
, 2014 We propose a relaxation-based approximate inference algorithm that samples near-MAP configurations of a binary pairwise Markov random field. We experiment on MAP inference tasks in several restricted Boltzmann machines. We also use our underlying sampler
Frostig, Roy +3 more
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Advanced Intelligent Systems, EarlyView.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval
Advances in Multimedia, 2018 With the rapidly growing number of images over the Internet, efficient scalable semantic image retrieval becomes increasingly important. This paper presents a novel approach for semantic image retrieval by combining Convolutional Neural Network (CNN) and
Haijiao Xu +4 more
doaj +1 more source
Probabilistic edge inference of gene networks with markov random field-based bayesian learning. [PDF]
Front Genet, 2022 Huang YJ, Mukherjee R, Hsiao CK.
europepmc +1 more source
Bayesian segmentation of hyperspectral images
, 2007 In this paper we consider the problem of joint segmentation of hyperspectral images in the Bayesian framework. The proposed approach is based on a Hidden Markov Modeling (HMM) of the images with common segmentation, or equivalently with common hidden ...
Féron, Olivier +2 more
core +1 more source
The Anatomical Record, EarlyView.Abstract Dicynodonts (Anomodontia: Dicynodontia) were one of the main groups of terrestrial tetrapods in Permian and Triassic faunas. In Brazil, the genus Dinodontosaurus is one of the most common tetrapod taxon in the Triassic Santa Maria Supersequence. This genus has a complex taxonomic history and is represented in the Triassic of both Argentina and
Julia Lara Rodrigues de Souza +5 more
wiley +1 more source
Advances in causal discovery methods for ecological time series
Biological Reviews, EarlyView.ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source