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parameter estimation

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TitleStatusHype
Kernel-based Regularized Iterative Learning Control of Repetitive Linear Time-varying Systems—0
Kernel Recursive ABC: Point Estimation with Intractable Likelihood—0
Keypoint Detection Empowered Near-Field User Localization and Channel Reconstruction—0
Knowledge-aided Two-dimensional Autofocus for Spotlight SAR Filtered Backprojection Imagery—0
Koopman-type inverse operator for linear non-minimum phase systems with disturbances—0
L_1-Based Adaptive Identification with Saturated Observations—0
LABOR-LLM: Language-Based Occupational Representations with Large Language Models—0
Large Deviation Theory for Parameter Estimation in Simple Neuron Models—0
Large-Margin Determinantal Point Processes—0
Large-scale L-BFGS using MapReduce—0
Large-Scale System Identification Using a Randomized SVD—0
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning—0
Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition—0
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation—0
Learned Trajectory Embedding for Subspace Clustering—0
Learning and Information in Stochastic Networks and Queues—0
Learning a Non-Blind Deblurring Network for Night Blurry Images—0
Learning Clique Forests—0
Learning Dynamic Feature Selection for Fast Sequential Prediction—0
Learning from Satisfying Assignments Using Risk Minimization—0
Causal Strategic Linear Regression—0
Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure—0
Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System—0
Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span—0
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders—0
Learning large softmax mixtures with warm start EM—0
Learning Latent Variable Gaussian Graphical Models—0
Learning neural trans-dimensional random field language models with noise-contrastive estimation—0
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM—0
Learning partially ranked data based on graph regularization—0
Learning sparse generalized linear models with binary outcomes via iterative hard thresholding—0
Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys—0
Learning to Beamform for Cooperative Localization and Communication: A Link Heterogeneous GNN-Based Approach—0
Learning to encode motion using spatio-temporal synchrony—0
Learning to Select Exogenous Events for Marked Temporal Point Process—0
Learning to Sketch Human Facial Portraits using Personal Styles by Case-Based Reasoning—0
Learn Like The Pro: Norms from Theory to Size Neural Computation—0
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting—0
Least Angle Regression in Tangent Space and LASSO for Generalized Linear Models—0
Lens Parameter Estimation for Realistic Depth of Field Modeling—0
Leveraging Data-Driven Models for Accurate Analysis of Grid-Tied Smart Inverters Dynamics—0
Leveraging Intrinsic Properties for Non-Rigid Garment Alignment—0
Leveraging Location Information for RIS-aided mmWave MIMO Communications—0
Leveraging Systematic Knowledge of 2D Transformations—0
Lightweight Machine Learning for Digital Cross-Link Interference Cancellation with RF Chain Characteristics in Flexible Duplex MIMO Systems—0
Likelihood Adaptively Modified Penalties—0
Limits of accuracy for parameter estimation and localisation in Single-Molecule Microscopy via sequential Monte Carlo methods—0
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning—0
Linearized Bregman Iterations for Automatic Optical Fiber Fault Analysis—0
Linear-Model-inspired Neural Network for Electromagnetic Inverse Scattering—0
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