Optimization of the SHiP Spectrometer Tracker geometry using the Bayesian Optimization with Gaussian Processes

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sparse Gaussian Processes for Bayesian Optimization

Bayesian optimization schemes often rely on Gaussian processes (GP). GP models are very flexible, but are known to scale poorly with the number of training points. While several efficient sparse GP models are known, they have limitations when applied in optimization settings. We propose a novel Bayesian optimization framework that uses sparse online Gaussian processes. We introduce a new updati...

متن کامل

Locally-Biased Bayesian Optimization using Nonstationary Gaussian Processes

Bayesian optimization is becoming a fundamental global optimization algorithm in many applications where sample efficiency is needed, ranging from automatic machine learning, robotics, reinforcement learning, experimental design, simulations, etc. The most popular and effective Bayesian optimization method relies on a stationary Gaussian process as surrogate. In this paper, we present a novel n...

متن کامل

Bayesian Optimization using Student-t Processes

Finding the global minimum of a function is often difficult. We consider efficiently minimizing functions which are computationally expensive to evaluate. A Bayesian approach to the global function optimization problem places a prior distribution on the function and chooses where to evaluate the function based on its posterior distribution given a set of observations. While many recent applicat...

متن کامل

Ship Trim Optimization for the Reduction of Fuel Consumption

Greenhouse gas emissions and atmospheric pollutants, economic savings, as well as alignment with the new rules of the shipping industry's leading is a new concern. In order to meet and achieve these goals, many efforts have been made. In this paper, some methods for reducing fuel consumption, including optimization of floating trim, have been considered in design draught. In this regard, the bo...

متن کامل

Safe Exploration for Optimization with Gaussian Processes

We consider sequential decision problems under uncertainty, where we seek to optimize an unknown function from noisy samples. This requires balancing exploration (learning about the objective) and exploitation (localizing the maximum), a problem well-studied in the multiarmed bandit literature. In many applications, however, we require that the sampled function values exceed some prespecified “...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: EPJ Web of Conferences

سال: 2019

ISSN: 2100-014X

DOI: 10.1051/epjconf/201921406036