The following pages link to (Q4633077):
Displaying 42 items.
- A tight upper bound on the generalization error of feedforward neural networks (Q1982395) (← links)
- Sequential model based optimization of partially defined functions under unknown constraints (Q2022235) (← links)
- Optimization problems for machine learning: a survey (Q2029894) (← links)
- Negotiating team formation using deep reinforcement learning (Q2046007) (← links)
- Harnessing the power of deception in attack graph-based security games (Q2056942) (← links)
- Use of static surrogates in hyperparameter optimization (Q2120124) (← links)
- Symbolic DNN-tuner (Q2127252) (← links)
- Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation (Q2133495) (← links)
- Self-adaptive deep neural network: numerical approximation to functions and PDEs (Q2133768) (← links)
- How can machine learning and optimization help each other better? (Q2218099) (← links)
- A fast multi-fidelity method with uncertainty quantification for complex data correlations: application to vortex-induced vibrations of marine risers (Q2246346) (← links)
- A survey on semi-supervised learning (Q2303675) (← links)
- Multi-objective evolutionary algorithms are generally good: maximizing monotone submodular functions over sequences (Q2681004) (← links)
- Spatial steganalysis based on gradient-based neural architecture search (Q2697934) (← links)
- (Q4633077) (← links)
- A Comprehensive Review of Modern Object Segmentation Approaches (Q5046687) (← links)
- (Q5053261) (← links)
- Personalized Algorithm Generation: A Case Study in Learning ODE Integrators (Q5088793) (← links)
- Automated Reinforcement Learning (AutoRL): A Survey and Open Problems (Q5094025) (← links)
- An Image-Based Approach to Detecting Structural Similarity Among Mixed Integer Programs (Q5106386) (← links)
- Derivation and Analysis of Fast Bilinear Algorithms for Convolution (Q5140608) (← links)
- (Q5152053) (← links)
- Quantifying the separability of data classes in neural networks (Q6054550) (← links)
- Reconstruction of proper numerical inlet boundary conditions for draft tube flow simulations using machine learning (Q6101089) (← links)
- Satellite derived bathymetry using deep learning (Q6106456) (← links)
- gLaSDI: parametric physics-informed greedy latent space dynamics identification (Q6107110) (← links)
- \textit{FastSVD-ML-ROM}: a reduced-order modeling framework based on machine learning for real-time applications (Q6116133) (← links)
- Editorial: special issue on recent progress in autonomous machine learning (Q6118660) (← links)
- A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms (Q6154930) (← links)
- Goal-oriented sensitivity analysis of hyperparameters in deep learning (Q6159254) (← links)
- Learning optimal solutions via an LSTM-optimization framework (Q6168346) (← links)
- Neural architecture search via standard machine learning methodologies (Q6195550) (← links)
- Hyper-flexible convolutional neural networks based on generalized Lehmer and power means (Q6488726) (← links)
- I-FENN with temporal convolutional networks: expediting the load-history analysis of non-local gradient damage propagation (Q6497179) (← links)
- Integrating impulse excitation technique and machine learning to analyze elastic moduli in surface coatings (Q6540427) (← links)
- A framework for strategic discovery of credible neural network surrogate models under uncertainty (Q6557831) (← links)
- An optimal control framework for adaptive neural ODEs (Q6561374) (← links)
- Applications of finite difference-based physics-informed neural networks to steady incompressible isothermal and thermal flows (Q6570872) (← links)
- An explainable federated learning and blockchain-based secure credit modeling method (Q6572887) (← links)
- Stochastic adversarial noise in the ``black box'' optimization problem (Q6588731) (← links)
- Accelerated zero-order SGD method for solving the black box optimization problem under ``overparametrization'' condition (Q6588732) (← links)
- Discrete morphological Neural networks (Q6623960) (← links)
