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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
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