Results 211 to 220 of about 19,632 (257)

Identification and quantification of irreversibility in stochastic systems.

Phys Chem Chem Phys
Ghosal A, Bisker G.
europepmc   +1 more source

Steering semi-flexible molecular diffusion model for structure-based drug design with reinforcement learning. [PDF]

Sci Adv
Zhang X, Qu S, Lu F, Wang J, Tian Z, Gu S, Zhang Y, Knoll A, Gao S, Chen G, Jiang C.   +10 more
europepmc   +1 more source

Addressing lightning and market uncertainties in self-scheduling: A fuzzy-markov approach for smart grids. [PDF]

Sci Rep
Benistan IS, Shahbazzadeh MJ, Eslami M.
europepmc   +1 more source

Health economics evaluation of artificial intelligence in the field of oncology: a scoping review. [PDF]

Health Econ Rev
Tun HM, Rahman HA, Naing L, Malik OA, Malik OA.   +4 more
europepmc   +1 more source

A multi-method phenotypic study of sex differences in pragmatic language in autism. [PDF]

Front Psychiatry
Landau E, Brooks SE, Guilfoyle J, Nayar K, Crawford S, Xing J, Lau JCY, Martin GE, Voigt R, Valluripalli Soorya L, Losh M.   +10 more
europepmc   +1 more source

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Comparing Semi-Markov Processes

Mathematics of Operations Research, 1980
Sufficient conditions are found for two semi-Markov processes to be stochastically ordered, i.e., for which two new semi-Markov processes can be constructed on a common probability space so that the new processes individually have the same distributions as the original processes and every sample path of the first new process lies below the ...
exaly   +2 more sources

Continuity of Generalized Semi-Markov Processes

Mathematics of Operations Research, 1980
It is shown that sequences of generalized semi-Markov processes converge in the sense of weak convergence of random functions if associated sequences of defining elements (initial distributions, transition functions and clock time distributions) converge.
Ward Whitt
exaly   +3 more sources

Monotonicity in Generalized Semi-Markov Processes

Mathematics of Operations Research, 1992
We establish stochastic monotonicity of the event epoch sequences of generalized semi-Markov processes through the structure of the generalized semi-Markov schemes on which they are based. Our main condition states, roughly, that the occurrence of more events in the short run never leads to the activation of less events in the long run.
Paul Glasserman, David D Yao
exaly   +3 more sources

Discounted semi-markov decision process in a semi-markov environment

Optimization, 1997
This paper presents the discounted semi-Markov decision process (SMDP) with Borel state space in a semi-Markov environment. It describes a system which behaves like a SMDP except that the system is influenced by its semi-Markov process environment. Following each state transition of the environment, the parameters of the SMDP changes.
exaly   +2 more sources

Using Semi-Markov Chains to Solve Semi-Markov Processes

Methodology and Computing in Applied Probability, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wu, Bei, Maya, Brenda Ivette Garcia, Limnios, Nikolaos   +2 more
openaire   +3 more sources