Results 31 to 40 of about 15,562 (261)
Maximum asymmetry of copulas revisited
Dependence Modeling, 2018 Motivated by the nice characterization of copulas A for which d∞(A, At) is maximal as established independently by Nelsen [11] and Klement & Mesiar [7], we study maximum asymmetry with respect to the conditioning-based metric D1 going back to Trutschnig [
Kamnitui Noppadon +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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Duality and intertwining for discrete Markov kernels: relations and examples [PDF]
Advances in Applied Probability, 2011 We supply some relations that establish intertwining from duality and give a probabilistic interpretation. This is carried out in the context of discrete Markov chains, fixing up the background of previous relations established for monotone chains and their Siegmund duals. We revisit the duality for birth-and-death chains and the nonneutral Moran model,
Huillet, Thierry, Martinez, Servet
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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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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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Online Learning in Kernelized Markov Decision Processes
CoRR, 2018 22nd International Conference on Artificial Intelligence and Statistics (AISTATS ...
Sayak Ray Chowdhury, Aditya Gopalan
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Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
Advanced Science, EarlyView.A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
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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Advanced Science, EarlyView.As a pilot phase of the Central Asian Genomic Diversity Project, whole‐genome sequencing of 166 individuals from 20 Central Asian and Afghan Hazara populations reveals fine‐scale substructure shaped by repeated trans‐Eurasian migration and admixture. Integrated analyses uncover post‐admixture adaptation, archaic introgression, and medically relevant ...
Mengge Wang +11 more
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