Results 81 to 90 of about 251,998 (281)

Revisiting a long‐overlooked skull: Implications for the distribution of Dinodontosaurus brevirostris (Kannemeyeriiformes) in the Brazilian Triassic

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, João Lucas Da Silva, Voltaire D. P. Neto, Arielli Fabrício Machado, Juan A. Escobar, Felipe L. Pinheiro   +5 more
wiley   +1 more source

GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection

IEEE Access
Community discovery is an essential research area with significant real-world applications. Lately, Graph Convolutional Networks (GCNs) have gained popularity for their ability to effectively identify and represent node relationships in low-dimensional ...
Fan Sun, Jiashuang Huang, Chang Guo, ZhenQuan Shi   +3 more
doaj   +1 more source

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

Applied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco, Mirco Musolesi, Jason O'Sullivan, Rosie Prior, Ioanna Manolopoulou   +4 more
wiley   +1 more source

Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields

Remote Sensing, 2019
Classification of hyperspectral images is a challenging task owing to the high dimensionality of the data, limited ground truth data, collinearity of the spectra and the presence of mixed pixels.
Vera Andrejchenko, Wenzhi Liao, Wilfried Philips, Paul Scheunders   +3 more
doaj   +1 more source

Markov random topic fields [PDF]

Proceedings of the ACL-IJCNLP 2009 Conference Short Papers on - ACL-IJCNLP '09, 2009
Most approaches to topic modeling assume an independence between documents that is frequently violated. We present an topic model that makes use of one or more user-specified graphs describing relationships between documents. These graph are encoded in the form of a Markov random field over topics and serve to encourage related documents to have ...
openaire   +1 more source

The myth of the metabolic baseline: sleep–wake cycles undermine a foundational assumption in organismal biology

Biological Reviews, EarlyView.
ABSTRACT Basal and standard metabolic rate (BMR and SMR) are cornerstones of physiological ecology and are assumed to be relatively fixed intrinsic properties of organisms that represent the minimum energy required to sustain life. However, this assumption is conceptually flawed. Many core maintenance processes underlying SMR are temporally partitioned
Helena Norman, Daphne Cortese, Amelia Munson, Jan Lindström, Shaun S. Killen   +4 more
wiley   +1 more source

Algorithm for constructing of stationary normal Markov 3d-field: dynamic equations of motion, statistical probability distributions, visualization

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, Анна Юрьевна Сидоренко   +1 more
doaj   +1 more source

Markov random fields and Markov chains on trees [PDF]

, 1981
We consider probability measures on a space S(^A) (where S and A are countable and the σ-field is the natural one) which are Markov random fields with respect to a given neighbour relation ~ on A.
Zachary, Stan
core  

A Taxonomy of Predictive Maintenance as a Basis for Supra‐Regional Sustainability Monitoring—Literature Review

Business Strategy and the Environment, EarlyView.
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner, Nadine Baumann, Marek Jabłoński, Adam Jabłoński, Mariusz Bednarek, Sławomir Luściński, Piotr Bilski   +6 more
wiley   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source