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global-optimization

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Showing 351–375 of 658 papers

TitleStatusHype
The Knowledge Gradient Policy Using A Sparse Additive Belief Model—0
ThermoONet -- a deep learning-based small body thermophysical network: applications to modelling water activity of comets—0
The True Destination of EGO is Multi-local Optimization—0
Thinking inside the box: A tutorial on grey-box Bayesian optimization—0
Time-Modulated EM Skins for Integrated Sensing and Communications—0
Time series modeling by a regression approach based on a latent process—0
Top-Down Regularization of Deep Belief Networks—0
Toward an ImageNet Library of Functions for Global Optimization Benchmarking—0
Training Neural Networks using SAT solvers—0
TREGO: a Trust-Region Framework for Efficient Global Optimization—0
Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System—0
TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents—0
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization—0
Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction—0
Unbounded Bayesian Optimization via Regularization—0
Uncertainty Quantification for Bayesian Optimization—0
Understanding Memory B Cell Selection—0
Unsupervised spectral-band feature identification for optimal process discrimination—0
Update Strength in EDAs and ACO: How to Avoid Genetic Drift—0
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design—0
Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization—0
Uso de GSO cooperativos com decaimentos de pesos para otimizacao de redes neurais—0
Variable-fidelity expected improvement method for efficient global optimization of expensive functions—0
Vehicle Speed Prediction using Deep Learning—0
Video Region Annotation with Sparse Bounding Boxes—0
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