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global-optimization

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Showing 501–550 of 658 papers

TitleStatusHype
Viewpoint distortion compensation in practical surveillance systems—0
Vision-based Large-scale 3D Semantic Mapping for Autonomous Driving Applications—0
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration—0
Semantic Segmentation with Boundary Neural Fields—0
Derivative-Free Global Optimization Algorithms: Population based Methods and Random Search Approaches—0
Bayesian Optimization using Deep Gaussian Processes—0
1D to nD: A Meta Algorithm for Multivariate Global Optimization via Univariate Optimizers—0
A Branch and Bound method for the exact parameter identification of the PK/PD model for anesthetic drugs—0
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models—0
Global Riemannian Acceleration in Hyperbolic and Spherical Spaces—0
A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points—0
A Collaborative Visual SLAM Framework for Service Robots—0
A Composite Decomposition Method for Large-Scale Global Optimization—0
A convex method for classification of groups of examples—0
A Cross Entropy based Optimization Algorithm with Global Convergence Guarantees—0
Active Distribution System Coordinated Control Method via Artificial Intelligence—0
A cutting plane algorithm for globally solving low dimensional k-means clustering problems—0
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification—0
Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization—0
Fractional order graph neural network—0
Adaptive Gaussian process surrogates for Bayesian inference—0
A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems—0
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization—0
A Deterministic Global Optimization Method for Variational Inference—0
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model—0
A differential evolution-based optimization tool for interplanetary transfer trajectory design—0
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down—0
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization—0
A Fast Quartet Tree Heuristic for Hierarchical Clustering—0
A Framework For Pruning Deep Neural Networks Using Energy-Based Models—0
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes—0
A Generalized Framework for Predictive Clustering and Optimization—0
A General Stochastic Algorithmic Framework for Minimizing Expensive Black Box Objective Functions Based on Surrogate Models and Sensitivity Analysis—0
A Generative Neural Annealer for Black-Box Combinatorial Optimization—0
A Generic Performance Model for Deep Learning in a Distributed Environment—0
A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems—0
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples—0
A global optimization algorithm for sparse mixed membership matrix factorization—0
A global optimization SAR image segmentation model can be easily transformed to a general ROF denoising model—0
A Granular Sieving Algorithm for Deterministic Global Optimization—0
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions—0
A Graph-Matching Approach for Cross-view Registration of Over-view 2 and Street-view based Point Clouds—0
A Graph-to-Sequence Model for Joint Intent Detection and Slot Filling in Task-Oriented Dialogue Systems—0
A Hybrid Data Association Framework for Robust Online Multi-Object Tracking—0
AiAds: Automated and Intelligent Advertising System for Sponsored Search—0
A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts—0
An AI-driven framework for rapid and localized optimizations of urban open spaces—0
An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization—0
Analysis of performance criteria for optimization based bearing only target tracking algorithms—0
Analysis of the Optimization Landscapes for Overcomplete Representation Learning—0
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