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Bayesian Optimization

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Showing 1301–1325 of 1900 papers

TitleStatusHype
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification—0
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit—0
AI-Assisted Transport of Radioactive Ion Beams—0
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case—0
AI-Powered Agile Analog Circuit Design and Optimization—0
A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling—0
A Learning Based Scheme for Fair Timeliness in Sparse Gossip Networks—0
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment—0
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models—0
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization—0
Alleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization—0
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment—0
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization—0
Ambulance Demand Prediction via Convolutional Neural Networks—0
A model aggregation approach for high-dimensional large-scale optimization—0
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting—0
AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG—0
A Multi-objective Newton Optimization Algorithm for Hyper-Parameter Search—0
An adaptive approach to Bayesian Optimization with switching costs—0
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization—0
An Adversarial Analysis of Thompson Sampling for Full-information Online Learning: from Finite to Infinite Action Spaces—0
An Algorithmic Theory of Metacognition in Minds and Machines—0
Analogical-based Bayesian Optimization—0
An Artificial Intelligence (AI) workflow for catalyst design and optimization—0
An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance—0
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