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Konu "Monte Carlo method." için Bilgisayar Mühendisliği listeleme

Konu "Monte Carlo method." için Bilgisayar Mühendisliği listeleme

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  • A collaborative multi-robot localization technique for autonomous robots 
    Bağcı, Hatice Köse. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    This work proposes a novel method for collaborative global localization of a team of soccer playing autonomous robots. It is also applicable to other indoor real-time robot applications in noisy, unpredictable environments, ...
  • Acceleration of sequential Monte Carlo methods via parallelization of resampling algorithms 
    Güldaş, Hakan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Sequential Monte Carlo (SMC) methods, also known as particle lters, are a popular set of tools in Bayesian inference on non-linear non-Gaussian state space models. While these algorithms are traditionally developed with ...
  • Bayesian model selection for latent variable causal networks by sequential Monte Carlo 
    Kurutmaz, Mehmet Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Inferring the causal structure of several random variables is a challenging task when interventions are not feasible. Presence of latent confounders further increases the difficulty of the problem, and therefore is neglected ...
  • Parallel resampling for real - time sequential Monte Carlo 
    Bozkurt, Alper Kamil. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Sequential Monte Carlo (SMC) methods are well known and widely used for state estimation in nonlinear/non-Gaussian dynamical systems. However due to the heavy computational requirements, they may not satisfy the real-time ...
  • Sequential Monte Carlo approoach to inference in Bayesian choice models 
    Gündoğdu, İlker. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Monte Carlo methods, such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC), have extensive use cases in probabilistic modeling and inference. They usually appear as a way of drawing samples from a ...
  • Sequential Monte Carlo localization using bluetooth low-energy beacons 
    Daniş, Fahri Serhan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    We model the tracking of a Bluetooth Low-Energy (BLE) moving transceiver as a hidden Markov model, and filter the latent positions using sequential Monte Carlo. A novel aspect of our approach is the development of an ...
  • Variance reduction in Markov chain Monte Carlo algorithms 
    Boyar, Onur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    In a simulation study, the output of the simulation is used to estimate target parameters. The estimated parameters typically has a variance, which impacts the precision of the estimation. In Monte Carlo simulations, the ...