Analytical and Stochastic Modelling Techniques and Applications
portes grátis
Analytical and Stochastic Modelling Techniques and Applications
28th International Conference, ASMTA 2024, Venice, Italy, June 14, 2024, Proceedings
Rossi, Sabina; Devos, Arnaud; Horvath, Andras
Springer International Publishing AG
11/2024
163
Mole
9783031707520
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- Markov chain aggregation with error bounds on transient distributions.
.- Strong Aggregation in the Stochastic matching model with Random Discipline.
.- Optimal Allocation of Tasks to Networked Computing Facilities.
.- Revenue Management for Parallel Services with Fully Observable Queues.
.- Deep reinforcement learning for weakly coupled MDP's with continuous actions.
.- A lazy abstraction algorithm for Markov decision processes: theory and initial evaluation.
.- Queueing Analysis of an Ensemble Machine Learning System.
.- Analysis of load balancing prioritization for heterogeneous M/M/c/K server clusters in the stationary mean-field regime.
.- An algebraic proof of the relation of Markov fluid queues and QBD processes.
.- Stability of the Multiserver Job Queuing Model with Infinite Resources.
.- Strong Aggregation in the Stochastic matching model with Random Discipline.
.- Optimal Allocation of Tasks to Networked Computing Facilities.
.- Revenue Management for Parallel Services with Fully Observable Queues.
.- Deep reinforcement learning for weakly coupled MDP's with continuous actions.
.- A lazy abstraction algorithm for Markov decision processes: theory and initial evaluation.
.- Queueing Analysis of an Ensemble Machine Learning System.
.- Analysis of load balancing prioritization for heterogeneous M/M/c/K server clusters in the stationary mean-field regime.
.- An algebraic proof of the relation of Markov fluid queues and QBD processes.
.- Stability of the Multiserver Job Queuing Model with Infinite Resources.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Decision making;Queueing theory;Markov processes;Random walks and Markov chains;Game theory;Network performance modeling;Markov decision processes;Network performance analysis
.- Markov chain aggregation with error bounds on transient distributions.
.- Strong Aggregation in the Stochastic matching model with Random Discipline.
.- Optimal Allocation of Tasks to Networked Computing Facilities.
.- Revenue Management for Parallel Services with Fully Observable Queues.
.- Deep reinforcement learning for weakly coupled MDP's with continuous actions.
.- A lazy abstraction algorithm for Markov decision processes: theory and initial evaluation.
.- Queueing Analysis of an Ensemble Machine Learning System.
.- Analysis of load balancing prioritization for heterogeneous M/M/c/K server clusters in the stationary mean-field regime.
.- An algebraic proof of the relation of Markov fluid queues and QBD processes.
.- Stability of the Multiserver Job Queuing Model with Infinite Resources.
.- Strong Aggregation in the Stochastic matching model with Random Discipline.
.- Optimal Allocation of Tasks to Networked Computing Facilities.
.- Revenue Management for Parallel Services with Fully Observable Queues.
.- Deep reinforcement learning for weakly coupled MDP's with continuous actions.
.- A lazy abstraction algorithm for Markov decision processes: theory and initial evaluation.
.- Queueing Analysis of an Ensemble Machine Learning System.
.- Analysis of load balancing prioritization for heterogeneous M/M/c/K server clusters in the stationary mean-field regime.
.- An algebraic proof of the relation of Markov fluid queues and QBD processes.
.- Stability of the Multiserver Job Queuing Model with Infinite Resources.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
