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parameter estimation

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Showing 551–600 of 1719 papers

TitleStatusHype
Estimation of Ornstein-Uhlenbeck Process Using Ultra-High-Frequency Data with Application to Intraday Pairs Trading Strategy—0
EDML for Learning Parameters in Directed and Undirected Graphical Models—0
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms—0
Effective and Efficient Mixed Precision Quantization of Speech Foundation Models—0
Effect of Pixelation on the Parameter Estimation of Single Molecule Trajectories—0
Efffcient Sensing Parameter Estimation with Direct Clutter Mitigation in Perceptive Mobile Networks—0
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models—0
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis—0
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation—0
Efficient CNN-LSTM based Parameter Estimation of Levy Driven Stochastic Differential Equations—0
Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties—0
Efficient CPU-Optimized Parameter Estimation for Modeling Fish Schooling Behavior in Large Particle Systems—0
Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation—0
Efficient Exact Inference in Planar Ising Models—0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
Efficient implementation of portfolio strategies involving cryptocurrencies and VIX INDEX and Gold—0
Estimation of Variance and Spatial Correlation Width for Fine-scale Measurement Error in Digital Elevation Model—0
A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI—0
Efficient Parameter Estimation of Truncated Boolean Product Distributions—0
Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling—0
Efficient two step optimization for large embedded deformation graph based SLAM—0
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems—0
Electoral David vs Goliath: How does the Spatial Concentration of Electors affect District-based Elections?—0
Electrical Fault Localisation Over a Distributed Parameter Transmission Line—0
Experimental Investigation of Frequency Domain Channel Extrapolation in Massive MIMO Systems for Zero-Feedback FDD—0
The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians—0
Embed and Emulate: Contrastive representations for simulation-based inference—0
Bayesian Optimal Experimental Design for Simulator Models of Cognition—0
DPERC: Direct Parameter Estimation for Mixed Data—0
Enabling Joint Communication and Radar Sensing in Mobile Networks -- A Survey—0
Double Low-Rank 4D Tensor Decomposition for Circular RIS-Aided mmWave MIMO-NOMA System Channel Estimation in Mobility Scenarios—0
End-to-End Risk Budgeting Portfolio Optimization with Neural Networks—0
Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals—0
Enhanced Sparse Bayesian Learning Methods with Application to Massive MIMO Channel Estimation—0
Enhancing Flood Forecasting with Dual State-Parameter Estimation and Ensemble-based SAR Data Assimilation—0
Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function—0
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance—0
DoA Estimation using MUSIC with Range/Doppler Multiplexing for MIMO-OFDM Radar—0
Enhancing the Reliability in Machine Learning for Gravitational Wave Parameter Estimation with Attention-Based Models—0
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation—0
Enveloped Sinusoid Parseval Frames—0
Bayesian surrogate learning in dynamic simulator-based regression problems—0
EpiCovDA: a mechanistic COVID-19 forecasting model with data assimilation—0
Equation Discovery for Nonlinear System Identification—0
Error concealment by means of motion refinement and regularized Bregman divergence—0
Amortised Experimental Design and Parameter Estimation for User Models of Pointing—0
Escaping Poor Local Minima in Large Scale Robust Estimation—0
Estimating Basis Functions in Massive Fields under the Spatial Mixed Effects Model—0
Beam-Space MIMO Radar for Joint Communication and Sensing with OTFS Modulation—0
A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata—0
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