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parameter estimation

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Showing 601–650 of 1719 papers

TitleStatusHype
Estimating Propensity Parameters using Google PageRank and Genetic Algorithms—0
Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data—0
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance—0
Estimating the Number of Components in Finite Mixture Models via Variational Approximation—0
Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter Estimation—0
Estimating True Beliefs in Opinion Dynamics with Social Pressure—0
DoA Estimation using MUSIC with Range/Doppler Multiplexing for MIMO-OFDM Radar—0
Estimating unknown parameters in differential equations with a reinforcement learning based PSO method—0
Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm—0
Estimation of Ornstein-Uhlenbeck Process Using Ultra-High-Frequency Data with Application to Intraday Pairs Trading Strategy—0
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms—0
Beyond Diagonal RIS for ISAC Network: Statistical Analysis and Network Parameter Estimation—0
Estimation of Skill Distribution from a Tournament—0
Estimation of Skill Distributions—0
Beyond the density operator and Tr(ρA): Exploiting the higher-order statistics of random-coefficient pure states for quantum information processing—0
Estimation of stellar atmospheric parameters from LAMOST DR8 low-resolution spectra with 20SNR<30—0
Estimation of Structural Causal Model via Sparsely Mixing Independent Component Analysis—0
Estimation of Variance and Spatial Correlation Width for Fine-scale Measurement Error in Digital Elevation Model—0
Estimation Stability with Cross Validation (ESCV)—0
Estimation Strategies for the Condition Monitoring of a Battery Systemin a Hybrid Electric Vehicle—0
Amortised Experimental Design and Parameter Estimation for User Models of Pointing—0
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations—0
An Axiomatic Approach to Regularizing Neural Ranking Models—0
A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata—0
Exact Recovery of Hard Thresholding Pursuit—0
Experimental Investigation of Frequency Domain Channel Extrapolation in Massive MIMO Systems for Zero-Feedback FDD—0
Experimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport—0
Experiment Design for Identification of Marine Models—0
Exploiting a Supervised Index for High-accuracy Parameter Estimation in Low SNR—0
Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae—0
DOA and Polarization Estimation for Non-Circular Signals in 3-D Millimeter Wave Polarized Massive MIMO Systems—0
Exponential GARCH-Ito Volatility Models—0
Exponentially Fast Parameter Estimation in Networks Using Distributed Dual Averaging—0
Extended Target Parameter Estimation and Tracking with an HDA Setup for ISAC Applications—0
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations—0
Extraction of Unaliased High-Frequency Micro-Doppler Signature using FMCW radar—0
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM—0
Bayes and Biased Estimators Without Hyper-parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator—0
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model—0
Bloch Equation Enables Physics-informed Neural Network in Parametric Magnetic Resonance Imaging—0
Factorization Machines—0
Families of Parsimonious Finite Mixtures of Regression Models—0
Fast and Efficient Estimation of Resonant Modes: A Case Study of Mechanical Drivelines—0
Fast and Efficient Sequential Radar Parameter Estimation in MIMO-OTFS Systems—0
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation—0
Fast and Reliable Parameter Estimation from Nonlinear Observations—0
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition—0
Fast Approximate Bayesian Computation for Estimating Parameters in Differential Equations—0
Fast Cauchy-Rician Modelling of SAR Images with Method of Algebraic Moments Estimator—0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
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