„Learning Control“
Suchergebnisse
9.512 Treffer
-
Erratum to: Reinforcement learning and neural networks for multi-agent nonzero-sum games of nonlinear constrained-input systems
-
Erratum to: Scaling-up an efficacious school-based physical activity intervention: Study protocol for the ‘Internet-based Professional Learning to help teachers support Activity in Youth’ (iPLAY) cluster randomized controlled trial and scale-up implementation evaluation
-
Erratum to: An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland
-
Multi-task learning with state propagation for quality forecasts in polymer extrusion lines
-
Gradient descent-based lightweight federated learning model for differential privacy-preserving
-
ALM-PU: positive and unlabeled learning with constrained optimization
-
Distribution estimation for time series via DNN-based GANs with an application to change-point estimation
-
Toward practical human-interpretable explanations
-
Raising the numbers: multi-generation adversarial attack and frequency-based defense for heightened NLP security
-
Stochastic Hybrid Rumor Control: A Data-Driven Ensemble Learning Control Algorithm
-
Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data
-
A unified view of forward and backward losses for learning from weak labels
-
Uncover and unlearn nuisances: agnostic fully test-time adaptation
-
Assessing the risk of discriminatory bias in classification datasets
-
Mb Explainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings
-
Exploration and generalization in deep learning with SwitchPath activations
-
Auction-based incentive mechanism with personalized privacy protection in federated learning
-
Physics-informed variational autoencoders for improved robustness to environmental factors of variation
-
Enhancing interpretability in generative modeling: statistically disentangled latent spaces guided by generative factors in scientific datasets
-
Improving text processing via adversarial low-rank adaptation