Results 71 to 80 of about 14,317,493 (293)
Applied SciencesCoordinating multiple unmanned aerial vehicle (UAV) systems under strict energy and temporal constraints remains a complex scheduling problem. Existing reinforcement learning methods typically rely on fixed-time-step modeling, which struggles to ...
Feng Wang +4 more
doaj +1 more source
Software Vulnerability Patch Management with Semi-Markov Decision Process [PDF]
, 2013 Information security incidents frequency has been increasing dramatically, the aim of this study is to analyze the state-space reachability problems through the transition of vulnerable status after the informative system vulnerability exposure.
Farn, Kwo-Jean +3 more
core
A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting
Journal of Forecasting, EarlyView.ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley +1 more source
Solving Hidden-Semi-Markov-Mode Markov Decision Problems
, 2014 International audienceHidden-Mode Markov Decision Processes (HM-MDPs) were proposed to represent sequential decision-making problems in non-stationary environments that evolve according to a Markov chain.
Hadoux, Emmanuel +2 more
core +2 more sources
IEEE AccessThe broadcast nature of communication in transmission media has driven the rise of network coding’s popularity in wireless networks. Numerous benefits arise from employing network coding in multi-hop wireless networks, including enhanced ...
Nastooh Taheri Javan, Zahra Yaghoubi
doaj +1 more source
SEMI-MARKOV DECISION PROCESSES AND THEIR APPLICATIONS IN REPLACEMENT MODELS
Journal of the Operations Research Society of Japan, 1985 We consider the problem of minimizing the long-run average expected cost per unit time in a semi-Markov decision process with arbitrary state and action space. Using the idea of successive approximations, sufficient conditions for the existence of an optimal stationary policy are given.
openaire +3 more sources
Symbolic Magnifying Lens Abstraction in Markov Decision Processes [PDF]
, 2008 In this paper, we combine abstraction-refinement and symbolic techniques to fight the state-space explosion problem when model checking Markov decision processes (MDPs).
Luca de Alfaro +7 more
core +1 more source
International Journal of Cancer, EarlyView.ABSTRACT Esophageal adenocarcinoma (EAC) exhibits marked male predominance with male‐to‐female ratios reaching 8.5:1, yet the molecular basis underlying this sex disparity remains poorly characterized. We analyzed 92 EAC specimens using mass spectrometry–based proteomics, comprising 47 female and 45 male tumors from treatment‐naïve patients ...
Alexander Quaas +8 more
wiley +1 more source
Nonstationary Continuous Time Markov Decision Processes in a Semi-Markov Environment with Discounted Criterion [PDF]
, 1995 This paper deals with the nonstationary continuous time Markov decision process in a semi-Markov environment with discounted criterion. The model can describe a system that itself can be modeled by a countable state nonstationary continuous time Markov ...
Hu, Q.Y.
core +1 more source
International Journal of Cancer, EarlyView.ABSTRACT Breast cancer progression varies across molecular subtypes, influencing detection rates and prognosis. Differences in the proportion of interval cancers (PIC)—cancers detected symptomatically between scheduled screening rounds—have been observed across subtypes, likely reflecting heterogeneity in tumour growth dynamics. We applied a continuous‐
Letizia Orsini +3 more
wiley +1 more source