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parameter estimation

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Showing 1251–1300 of 1719 papers

TitleStatusHype
Tensor Regression Using Low-rank and Sparse Tucker Decompositions—0
Terrain estimation via vehicle vibration measurement and cubature Kalman filtering—0
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes—0
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds—0
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy—0
The co-varying ties between networks and item responses via latent variables—0
The Cramer-Rao Bound for Signal Parameter Estimation from Quantized Data—0
The Curse of Beam-Squint in ISAC: Causes, Implications, and Mitigation Strategies—0
The D-Subspace Algorithm for Online Learning over Distributed Networks—0
The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models—0
The Importance of Constraint Smoothness for Parameter Estimation in Computational Cognitive Modeling—0
The Information Geometry of Mirror Descent—0
The Key of Parameter Skew in Federated Learning—0
The limitations of model-based experimental design and parameter estimation in sloppy systems—0
The Maximal Causes of Natural Scenes are Edge Filters—0
The Moon's Many Faces: A Single Unified Transformer for Multimodal Lunar Reconstruction—0
The Noise Collector for sparse recovery in high dimensions—0
Theoretical bounds on estimation error for meta-learning—0
Theoretical guarantees for EM under misspecified Gaussian mixture models—0
The Rise of Intelligent Reflecting Surfaces in Integrated Sensing and Communications Paradigms—0
The statistical physics of discovering exogenous and endogenous factors in a chain of events—0
The Variance Gamma++ Process and Applications to Energy Markets—0
The variational Laplace approach to approximate Bayesian inference—0
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging—0
The Weak Form Is Stronger Than You Think—0
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks—0
Thompson Sampling in Partially Observable Contextual Bandits—0
Three-component contour dynamics model to simulate and analyze amoeboid cell motility—0
Towards a Unified Compositional Model for Visual Pattern Modeling—0
Towards autonomous photogrammetric forest inventory using a lightweight under-canopy robotic drone—0
Towards black-box parameter estimation—0
Towards calibrated and scalable uncertainty representations for neural networks—0
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts—0
Towards Practical Bayesian Parameter and State Estimation—0
Towards rational glyco-engineering in CHO: from data to predictive models—0
Towards stability and optimality in stochastic gradient descent—0
Tracking Error Based Fault Tolerant Scheme for Marine Vehicles with Thruster Redundancy—0
Training Conditional Random Fields with Natural Gradient Descent—0
Training for Fast Sequential Prediction Using Dynamic Feature Selection—0
Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a drone—0
Transfer learning for multifidelity simulation-based inference in cosmology—0
Transformer-based Parameter Estimation in Statistics—0
Transient Thermal and Electrical Characteristics of a Cylindrical LiFeS2 Cell with Equivalent Circuit Model—0
Transmission Line Parameter Estimation Under Non-Gaussian Measurement Noise—0
Transmission matrix parameter estimation of COVID-19 evolution with age compartments using ensemble-based data assimilation—0
Transmit Beamspace DDMA Based Automotive MIMO Radar—0
Transport Effects on Multiple-Component Reactions in Optical Biosensors—0
Transport Map Coupling Filter for State-Parameter Estimation—0
Triadic Temporal Exponential Random Graph Models (TTERGM)—0
TRLG: Fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with quality optimized using LWT and GA—0
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