Results 41 to 50 of about 57,303 (303)
A uniform definition of stochastic process calculi [PDF]
, 2012 We introduce a unifying framework to provide the semantics of process algebras, including their quantitative variants useful for modeling quantitative aspects of behaviors.
De Nicola, Rocco +8 more
core +1 more source
Detecting and Responding to Concept Drift in Business Processes
Algorithms, 2022 Concept drift, which refers to changes in the underlying process structure or customer behaviour over time, is inevitable in business processes, causing challenges in ensuring that the learned model is a proper representation of the new data.
Lingkai Yang +4 more
doaj +1 more source
Nonlinear Markov games on a finite state space (mean-field and binary interactions) [PDF]
, 2012 Managing large complex stochastic systems, including competitive interests, when one or several players can control the behavior of a large number of particles (agents, mechanisms, vehicles, subsidiaries, species, police units, etc), say Nk for a player ...
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
core +1 more source
A Course Planning Wizard based on Markov Decision Process
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceBefore registering for classes, college students typically consult their advisors, who often manage more than forty mentees, leading to long wait times.
Cengiz Gunay, Niecia Say
doaj +1 more source
Making virtual learning environment more intelligent: application of Markov decision process
Lietuvos Matematikos Rinkinys, 2004 Suppose there exist a Virtual Learning Environment in which agent plays a role of the teacher. With time it moves to different states and makes decisions on which action to choose for moving from current state to the next state.
Dalia Baziukaitė
doaj +3 more sources
On the detection of Markov decision processes
AutomaticaWe study the detection problem for a finite set of Markov decision processes (MDPs) where the MDPs have the same state and action spaces but possibly different probabilistic transition functions. Any one of these MDPs could be the model for some underlying controlled stochastic process, but it is unknown a priori which MDP is the ground truth.
Xiaoming Duan +4 more
openaire +2 more sources
Methods for Risk-Based Planning of O&M of Wind Turbines
Energies, 2014 In order to make wind energy more competitive, the big expenses for operation and maintenance must be reduced. Consistent decisions that minimize the expected costs can be made based on risk-based methods.
Jannie Sønderkær Nielsen +1 more
doaj +1 more source
Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
Advanced Materials, EarlyView.This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source
Bounded parameter Markov decision processes with average reward criterion
, 2007 . Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP).
Tewari, Ambuj +3 more
core +1 more source
Inverse Design of Amorphous Materials With Targeted Properties
Advanced Materials, EarlyView.AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler +4 more
wiley +1 more source