Results 31 to 40 of about 16,277 (238)
Information geometry of Markov Kernels: a survey
Frontiers in Physics, 2023 Information geometry and Markov chains are two powerful tools used in modern fields such as finance, physics, computer science, and epidemiology. In this survey, we explore their intersection, focusing on the theoretical framework. We attempt to provide a self-contained treatment of the foundations without requiring a solid background in differential ...
Geoffrey Wolfer, Shun Watanabe
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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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The Category of Markov Kernels
Electronic Notes in Theoretical Computer Science, 1999 AbstractMarkov kernels are fundamental objects in probability theory. One can define a category based on Markov kernels which has many of the formal properties of the ordinary category of relations. In the present paper we will examine the categorical properties of Markov kernels and stress the analogies and differences with the category of relations ...
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Transformation of Hand-Shape Features for a Biometric Identification Approach
Sensors, 2012 The present work presents a biometric identification system for hand shape identification. The different contours have been coded based on angular descriptions forming a Markov chain descriptor.
Jesús B. Alonso +2 more
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Advanced Science, EarlyView.We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka +10 more
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On Online Learning in Kernelized Markov Decision Processes
CoRR, 2019 arXiv admin note: text overlap with arXiv:1805 ...
Sayak Ray Chowdhury, Aditya Gopalan
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LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides
Advanced Science, EarlyView.An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu +9 more
wiley +1 more source
On bivariate Archimedean copulas with fractal support
Dependence ModelingDue to their simple analytic form (bivariate) Archimedean copulas are usually viewed as very smooth and handy objects, which should distribute mass in a fairly regular and certainly not in a pathological way. Building upon recently established results on
Sánchez Juan Fernández +1 more
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Advanced Science, EarlyView.Subcellular spatial transcriptomics enables high‐resolution mapping of gene expression within tissues, but accurate cell segmentation is essential for assigning transcripts to individual cells. We present SpaCut, a deep learning framework that integrates transcriptomic features with nucleus‐guided morphological information to precisely delineate cell ...
Yongheng Li, Fangfang Zhu, Wenwen Min
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Node localization algorithm based on kernel function and Markov chains
Tongxin xuebao, 2010 To position indoor objects accurately and robustly,a novel node localization based on kernel function and Markov chains was presented,which employs Bayesian filter framework and radio fingerprinting technology.It uses kernel function to construct ...
ZHAO Fang1 +3 more
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