Results 71 to 80 of about 1,853,662 (312)
On the containment condition for adaptive Markov Chain Monte Carlo algorithms [PDF]
, 2009 This paper considers ergodicity properties of certain adaptive Markov chain Monte Carlo (MCMC) algorithms for multidimensional target distributions, in particular Adaptive Metropolis and Adaptive Metropolis-within-Gibbs.
Rosenthal, Jeffrey S. (Jeffrey Seth) +2 more
core
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
Stochastic Methods for Analysis of Complex Hardware-Software Systems
Труды Института системного программирования РАН, 2018 In this paper we consider Markov analysis of models of complex software and hardware systems. A Markov analysis tool can be used during verification processes of models of avionics systems.
A. A. Karnov, S. V. Zelenov
doaj +1 more source
Attainability for Markov and Semi-Markov Chains
MathematicsWhen studying Markov chain models and semi-Markov chain models, it is useful to know which state vectors n, where each component ni represents the number of entities in the state Si, can be maintained or attained. This question leads to the definitions of maintainability and attainability for (time-homogeneous) Markov chain models.
Brecht Verbeken, Marie-Anne Guerry
openaire +3 more sources
A Markov Chain state transition approach to establishing critical phases for AUV reliability [PDF]
, 2011 The deployment of complex autonomous underwater platforms for marine science comprises a series of sequential steps. Each step is critical to the success of the mission. In this paper we present a state transition approach, in the form of a Markov chain,
Griffiths, Gwyn +3 more
core +1 more source
Advanced Science, EarlyView.Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues +10 more
wiley +1 more source
Jurnal Teknik SipilAbstrak Model dan analisis yang mampu meramalkan dampak banjir terhadap kinerja perkerasan jalan raya, sangat penting untuk mengantisipasi penurunan kekuatan struktur perkerasan pasca terjadinya banjir.
Danang Saputro +2 more
doaj +1 more source
STRIDE: A Sequencing Depth Robust Metric for Sparse Chromosome Conformation Capture Data Comparison
Advanced Science, EarlyView.A mean first passage time (MFPT)‐based representation transforms sparse Hi‐C contact maps into robust topological representations, preserving biologically meaningful chromatin features and facilitating robust analysis of TADs, chromatin loops, differential chromatin contacts, and sparse single‐cell Hi‐C data.
Bingxiang Xu +4 more
wiley +1 more source
STABILITY OF LINEAR SYSTEMS WITH MARKOVIAN JUMPS
Selecciones Matemáticas, 2016 In this work we will analyze the stability of linear systems governed by a Markov chain, this family is known in the specialized literature as linear systems with Markov jumps or by its acronyms in English MJLS as it is denoted in [1].
Jorge Enrique Mayta Guillermo
doaj +1 more source
CoRR, 2018 The problem of estimating an unknown discrete distribution from its samples is a fundamental tenet of statistical learning. Over the past decade, it attracted significant research effort and has been solved for a variety of divergence measures. Surprisingly, an equally important problem, estimating an unknown Markov chain from its samples, is still far
Yi Hao +2 more
openaire +4 more sources