Results 31 to 40 of about 97,680 (303)

High-order Vector Markov Chain with Partial Connections in Data Analysis

Austrian Journal of Statistics, 2017
A new mathematical model for discrete time series is proposed: homogenous vector Markov chain of the order s with partial connections. Conditional probability distribution for this model is determined only by a few components of previous vector states ...
Yuriy Kharin, Michail Maltsew
doaj   +1 more source

Role of the site of synaptic competition and the balance of learning forces for Hebbian encoding of probabilistic Markov sequences

Frontiers in Computational Neuroscience, 2015
The majority of distinct sensory and motor events occur as temporally ordered sequences with rich probabilistic structure. Sequences can be characterized by the probability of transitioning from the current state to upcoming states (forward probability),
Kristofer E Bouchard, Surya eGanguli, Michael S. Brainard   +2 more
doaj   +1 more source

Hyper Normalisation and Conditioning for Discrete Probability Distributions [PDF]

Logical Methods in Computer Science, 2017
Normalisation in probability theory turns a subdistribution into a proper distribution. It is a partial operation, since it is undefined for the zero subdistribution. This partiality makes it hard to reason equationally about normalisation. A novel description of normalisation is given as a mathematically well-behaved total function. The output of this
Jacobs, B., Jacobs, B.
openaire   +4 more sources

Probabilistic power flow calculation of active distribution network based on Copula theory and equal probability segmentation

Diance yu yibiao
Aiming at the scenario of strong uncertainty on both sides of source and load in active distribution network, this paper proposes a probabilistic power flow calculation method of active distribution network based on Copula theory and equal probability ...
JIA Yudong, LIU Wenbin, MU Xizhen, MU Xiaobin, ZHU Yongqiang, XIA Ruihua   +5 more
doaj   +1 more source

Structural reliability analysis based on a limited directional important sampling simulation

Nihon Kikai Gakkai ronbunshu, 2015
This study describes an efficient estimation method of the structural failure probability based on a limited directional importance sampling simulation.
Shoya OKUDA, Masaaki YONEZAWA
doaj   +1 more source

Description of the Joint Probability of Significant Wave Height and Mean Wave Period

Journal of Marine Science and Engineering, 2022
The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
doaj   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Gaussian Covariance Faithful Markov Trees

Journal of Probability and Statistics, 2011
Graphical models are useful for characterizing conditional and marginal independence structures in high-dimensional distributions. An important class of graphical models is covariance graph models, where the nodes of a graph represent different ...
Dhafer Malouche, Bala Rajaratnam
doaj   +1 more source

Quantitative Prediction of Braided Sandbodies Based on Probability Fusion and Multi-Point Geostatistics

Energies, 2023
Predicting the spatial distribution of braided fluvial facies reservoirs is of paramount significance for oil and gas exploration and development. Given that seismic materials enjoy an advantage in dense spatial sampling, many methods have been proposed ...
Qiangqiang Kang, Jiagen Hou, Liqin Liu, Mingqiu Hou, Yuming Liu   +4 more
doaj   +1 more source

In Situ Copper Electroplating Turns Material Extrusion 3D Printers Into Metal–Polymer Hybrid Fabricators

Advanced Materials Technologies, EarlyView.
An in situ electroplating approach for MEX 3D printing is proposed, enabling copper deposition during the fabrication of conductive polymers. The method combines a printer‐integrated plating head, ML‐based g‐code control, and stop‐and‐go printing, achieving near‐bulk copper conductivity and enabling fully embedded, assembly‐free electronic components ...
Gianluca Percoco, Nicola Larovere, Antonio Zagaria, Antonio Pavone, Rosanna Rifino, Gianni Stano   +5 more
wiley   +1 more source