Results 41 to 50 of about 56,129 (265)

Bayesian Optimization in AlphaGo

CoRR, 2018
During the development of AlphaGo, its many hyper-parameters were tuned with Bayesian optimization multiple times. This automatic tuning process resulted in substantial improvements in playing strength. For example, prior to the match with Lee Sedol, we tuned the latest AlphaGo agent and this improved its win-rate from 50% to 66.5% in self-play games ...
Yutian Chen 0001, Aja Huang, Ziyu Wang 0001, Ioannis Antonoglou, Julian Schrittwieser, David Silver 0001, Nando de Freitas   +6 more
openaire   +2 more sources

Bayesian Optimization for Optimizing Retrieval Systems [PDF]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
The effectiveness of information retrieval systems heavily depends on a large number of hyperparameters that need to be tuned. Hyperparameters range from the choice of different system components, e.g., stopword lists, stemming methods, or retrieval models, to model parameters, such as k1 and b in BM25, or the number of query expansion terms.
Dan Li 0015, Evangelos Kanoulas
openaire   +2 more sources

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Development of graphical user interface for design of experiments via Gaussian process regression and its case study

Science and Technology of Advanced Materials: Methods
Bayesian optimization, coupled with Gaussian process regression and acquisition functions, has proven to be a powerful tool in the field of experimental design.
Yoshiki Hasukawa, Mikael Kuwahara, Lauren Takahashi, Keisuke Takahashi   +3 more
doaj   +1 more source

Study on structural health monitoring system using deep learning (Verification of effectiveness based on seismic response analysis using elastoplastic model)

Nihon Kikai Gakkai ronbunshu, 2022
Monitoring structural integrity has been demanded to achieve a sustainable society against disasters, including seismic and extreme wind events, and thus Structural Health Monitoring (SHM) system is one of the significant technologies.
Tsuyoshi FUKASAWA, Satoshi FUJITA, Takaki AEBA   +2 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

A Bayesian optimization approach for reliability-based design of prestressed concrete structures

Data-Centric Engineering
This paper presents a reliability-constrained Bayesian optimization framework for structural design under uncertainty, addressing challenges in stochastic optimization where the objectives and constraints are defined implicitly by potentially expensive ...
James Whiteley, Jurgen Becque
doaj   +1 more source

Sentinel-2 Satellite Imagery for Urban Land Cover Classification by Optimized Random Forest Classifier

Applied Sciences, 2021
Land cover classification is able to reflect the potential natural and social process in urban development, providing vital information to stakeholders. Recent solutions on land cover classification are generally addressed by remotely sensed imagery and ...
Tianxiang Zhang, Jinya Su, Zhiyong Xu, Yulin Luo, Jiangyun Li   +4 more
doaj   +1 more source

Efficacy of Inebilizumab in N‐MOmentum Trial Participants With or Without Prior Immunosuppressants

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This post hoc analysis examined the impact of prior immunosuppressants on the long‐term efficacy and safety of inebilizumab, a cluster of differentiation 19+ B‐cell–depleting monoclonal antibody, in participants with aquaporin‐4–seropositive neuromyelitis optica spectrum disorder from the N‐MOmentum trial (NTC02200770).
Bruce A. C. Cree, Beatrice Suero, Sarah Walsh, Romain Marignier, John W. Lindsey, Ho Jin Kim, Dewei She, Daniel Cimbora, Dustin Cavida, Friedemann Paul   +9 more
wiley   +1 more source

Efficient Tuning of an Isotope Separation Online System Through Safe Bayesian Optimization with Simulation-Informed Gaussian Process for the Constraints

Mathematics
Optimizing process outcomes by tuning parameters through an automated system is common in industry. Ideally, this optimization is performed as efficiently as possible, using the minimum number of steps to achieve an optimal configuration.
Santiago Ramos Garces, Ivan De Boi, João Pedro Ramos, Marc Dierckx, Lucia Popescu, Stijn Derammelaere   +5 more
doaj   +1 more source