SOTAVerified

parameter estimation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 1719 papers

TitleStatusHype
Characterizations of non-normalized discrete probability distributions and their application in statistics—0
A Fast Approximate AIB Algorithm for Distributional Word Clustering—0
An Introduction to Conditional Random Fields—0
CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data—0
Classification of High-dimensional Time Series in Spectral Domain using Explainable Features—0
Clinical Tagging with Joint Probabilistic Models—0
CLuP-Based Dual-Deconvolution in Automotive ISAC Scenarios—0
Cluster weighted models for functional data—0
Bayesian Parameter Estimations for Grey System Models in Online Traffic Speed Predictions—0
Code Optimization and Angle-Doppler Imaging for ST-CDM LFMCW MIMO Radar Systems—0
On the estimation of correlation in a binary sequence model—0
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing—0
A note on patch-based low-rank minimization for fast image denoising—0
Combined State and Parameter Estimation in Level-Set Methods—0
Combining data assimilation and machine learning to estimate parameters of a convective-scale model—0
Comments on "Momentum fractional LMS for power signal parameter estimation"—0
A Novel Method for the Absolute Pose Problem with Pairwise Constraints—0
CommSense: A Rapid and Accurate ISAC Paradigm—0
Communication Efficient Federated Learning for Generalized Linear Bandits—0
Communications under Bursty Mixed Gaussian-impulsive Noise: Demodulation and Performance Analysis—0
Comparative Analysis of Information Theoretic and Statistical Methods for Line Parameter Estimation—0
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs—0
Comparative Study of MPPT and Parameter Estimation of PV cells—0
Comparing statistical and deep learning techniques for parameter estimation of continuous-time stochastic differentiable equations—0
Complex Isotropic α-Stable-Rician Model for Heterogeneous SAR Images—0
Composite Adaptive Control for Anti-Unwinding Attitude Maneuvers: An Exponential Stability Result Without Persistent Excitation—0
Composite Adaptive Control for Time-varying Systems with Dual Adaptation—0
Composite Adaptive Disturbance Rejection in Robotics via Instrumental Variables based DREM—0
Composite Adaptive Lyapunov-Based Deep Neural Network (Lb-DNN) Controller—0
Composite Learning Adaptive Control without Excitation Condition—0
Composite learning backstepping control with guaranteed exponential stability and robustness—0
Computational and Statistical Asymptotic Analysis of the JKO Scheme for Iterative Algorithms to update distributions—0
A Block-Sparse Bayesian Learning Algorithm with Dictionary Parameter Estimation for Multi-Sensor Data Fusion—0
Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures—0
Concurrent Learning Based Adaptive Control of Euler Lagrange Systems with Guaranteed Parameter Convergence—0
Concurrent Learning Based Tracking Control of Nonlinear Systems using Gaussian Process—0
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for Bi-ventricular Blood Pool and Myocardium Segmentation—0
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling—0
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations—0
Conditional Noise-Contrastive Estimation of Unnormalised Models—0
Conditional probability generation methods for high reliability effects-based decision making—0
Conduct Parameter Estimation in Homogeneous Goods Markets with Equilibrium Existence and Uniqueness Conditions: The Case of Log-linear Specification—0
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression—0
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models—0
Bayesian parameter estimation of miss-specified models—0
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation—0
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions—0
Consistent Parameter Estimation for LASSO and Approximate Message Passing—0
Constrained and Regularized Quantitative Ultrasound Parameter Estimation using ADMM—0
An alternative approach for distributed parameter estimation under Gaussian settings—0
Show:102550
← PrevPage 8 of 35Next →

No leaderboard results yet.