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global-optimization

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Showing 201–250 of 658 papers

TitleStatusHype
Deep Neural Decision Forests—0
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging—0
A New Approach for Finding the Global Optimal Point Using Subdividing Labeling Method (SLM)—0
Deep reinforcement learning for weakly coupled MDP's with continuous actions—0
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization—0
Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure Suppression—0
Deterministic Fitting of Multiple Structures using Iterative MaxFS with Inlier Scale Estimation and Subset Updating—0
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?—0
Deterministic Hypothesis Generation for Robust Fitting of Multiple Structures—0
Differential Evolution with Generalized Mutation Operator for Parameters Optimization in Gene Selection for Cancer Classification—0
DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion—0
AiAds: Automated and Intelligent Advertising System for Sponsored Search—0
Dimensionality Reduction Techniques for Global Bayesian Optimisation—0
A Step-by-Step Guide to Using BioNetFit—0
A General Stochastic Algorithmic Framework for Minimizing Expensive Black Box Objective Functions Based on Surrogate Models and Sensitivity Analysis—0
Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation—0
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring—0
Distributed Optimization for Smart Cyber-Physical Networks—0
Distributed Voltage Control of Active Distribution Networks With Global Sensitivity—0
Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization—0
DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling—0
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments—0
Drone Squadron Optimization: a Self-adaptive Algorithm for Global Numerical Optimization—0
A unified surrogate-based scheme for black-box and preference-based optimization—0
A differential evolution-based optimization tool for interplanetary transfer trajectory design—0
Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry—0
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML—0
Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors—0
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms—0
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding—0
A neural network-based framework for financial model calibration—0
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification—0
Efficient Global Optimization using Deep Gaussian Processes—0
Efficient High-Resolution Stereo Matching using Local Plane Sweeps—0
Boosting K-means for Big Data by Fusing Data Streaming with Global Optimization—0
Efficient Likelihood Bayesian Constrained Local Model—0
Efficient Lipschitzian Global Optimization of Hölder Continuous Multivariate Functions—0
Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions—0
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure—0
Empirical Study on the Benefits of Multiobjectivization for Solving Single-Objective Problems—0
End-to-End Neural Relation Extraction with Global Optimization—0
Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive—0
Entropic one-class classifiers—0
Entropic trust region for densest crystallographic symmetry group packings—0
EOS: a Parallel, Self-Adaptive, Multi-Population Evolutionary Algorithm for Constrained Global Optimization—0
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods—0
An estimation of distribution algorithm with adaptive Gibbs sampling for unconstrained global optimization—0
1D to nD: A Meta Algorithm for Multivariate Global Optimization via Univariate Optimizers—0
Evolutionary Multimodal Optimization: A Short Survey—0
Boosted Sparse Non-linear Distance Metric Learning—0
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