Results 61 to 70 of about 144,876 (334)

Uniform Chernoff and Dvoretzky-Kiefer-Wolfowitz-type inequalities for Markov chains and related processes [PDF]

, 2013
We observe that the technique of Markov contraction can be used to establish measure concentration for a broad class of non-contracting chains. In particular, geometric ergodicity provides a simple and versatile framework.
Kontorovich, Aryeh, Weiss, Roi
core  

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

A Markov Chain Model Checker [PDF]

, 2000
Markov chains are widely used in the context of performance and reliability evaluation of systems of various nature. Model checking of such chains with respect to a given (branching) temporal logic formula has been proposed for both the discrete [17,6 ...
Hermanns, Holger, Katoen, Joost-Pieter, Meyer-Kayser, Joachim, Siegle, M.   +3 more
core   +5 more sources

Computational study of permeability in cardboard coating layers

AIChE Journal, EarlyView.
Abstract We develop a virtual material structure model based on a combination of tessellations and Gaussian random fields for a coating layer of paperboard used for packaging and designed to facilitate printing on the surface. To fit the model to tomographic image data acquired using combined focused ion beam and scanning electron microscopy (FIB‐SEM),
Sandra Barman, Torben Nilsson Pingel, Niklas Lorén, Tobias Gebäck, Eva Olsson, Aila Särkkä, Magnus Röding   +6 more
wiley   +1 more source

Information Landscape and Flux, Mutual Information Rate Decomposition and Connections to Entropy Production

Entropy, 2017
We explored the dynamics of two interacting information systems. We show that for the Markovian marginal systems, the driving force for information dynamics is determined by both the information landscape and information flux.
Qian Zeng, Jin Wang
doaj   +1 more source

A Hybrid Recommender System for Sequential Recommendation: Combining Similarity Models With Markov Chains

IEEE Access, 2020
With the growth of artificial intelligence technology, the importance of recommender systems that recommend personalized content has increased. The general form of the recommender system usually analyzes the users' log information to provide them with ...
Yeongwook Yang, Hong-Jun Jang, Byoungwook Kim   +2 more
doaj   +1 more source

Bounds on expected coupling times in Markov chains [PDF]

, 2008
In the author’s paper “Coupling and Mixing Times in Markov Chains” (RLIMS, 11, 1- 22, 2007) it was shown that it is very difficult to find explicit expressions for the expected time to coupling in a general Markov chain. In this paper simple upper and
Hunter, Jeffrey J.
core  

The mixing time of the switch Markov chains: a unified approach [PDF]

, 2019
Since 1997 a considerable effort has been spent to study the mixing time of switch Markov chains on the realizations of graphic degree sequences of simple graphs.
Erdős, Péter L., Greenhill, Catherine, Mezei, Tamás Róbert, Miklós, István, Soltész, Dániel, Soukup, Lajos   +5 more
core   +2 more sources

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Characterization of geological uncertainties from limited boreholes using copula-based coupled Markov chains for underground construction

Underground Space
This paper proposes an efficient method for quantifying the stratigraphic uncertainties and modeling the geological formations based on boreholes. Two Markov chains are used to describe the soil transitions along different directions, and the transition ...
Fan Wang, Heng Li, Gang Li, Zheng-Jun You, Elton J. Chen   +4 more
doaj   +1 more source