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Showing 1201–1250 of 1719 papers

TitleStatusHype
State and parameter estimation for retinal laser treatment—0
State and parameter estimation from exact partial state observation in stochastic reaction networks—0
State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics—0
State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach—0
State Observer for the Fourth-order Model of a Salient Pole Synchronous Generator with Stator Losses: Known and Partially Unknown Input Cases—0
Statistical applications of contrastive learning—0
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm—0
Statistical Inference with Limited Memory: A Survey—0
Statistical Models for Degree Distributions of Networks—0
Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts—0
Statistical Robust Chinese Remainder Theorem for Multiple Numbers: Wrapped Gaussian Mixture Model—0
Stochastic Epidemic Models with Partial Information—0
Stochastic Image Deformation in Frequency Domain and Parameter Estimation using Moment Evolutions—0
Stochastic Linear Bandits with Latent Heterogeneity—0
Stochastic Local Interaction Model: Geostatistics without Kriging—0
Stochastic models in phylogenetic comparative methods: analytical properties and parameter estimation—0
A Two-stage Multiband WiFi Sensing Scheme via Stochastic Particle-Based Variational Bayesian Inference—0
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees—0
Stochastic Variational Methods in Generalized Hidden Semi-Markov Models to Characterize Functionality in Random Heteropolymers—0
Stock Trading Using PE ratio: A Dynamic Bayesian Network Modeling on Behavioral Finance and Fundamental Investment—0
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis—0
Strong identifiability and parameter learning in regression with heterogeneous response—0
Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression—0
Structural and Practical Identifiability of Phenomenological Growth Models for Epidemic Forecasting—0
Structural Identifiability of a Pseudo-2D Li-ion Battery Electrochemical Model—0
Structural System Identification via Validation and Adaptation—0
Structured Covariance Matrix Estimation for Noise-Type Radars—0
Structured Low-Rank Tensors for Generalized Linear Models—0
Structure Learning and Parameter Estimation for Graphical Models via Penalized Maximum Likelihood Methods—0
Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals—0
Sublinear-Time Approximate MCMC Transitions for Probabilistic Programs—0
Subspace-Based Super-Resolution Sensing for Bi-Static ISAC with Clock Asynchronism—0
Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes—0
Supervised Learning Based Online Tracking Filters: An XGBoost Implementation—0
Supervised Parameter Estimation of Neuron Populations from Multiple Firing Events—0
Surface Registration Using Genetic Algorithm in Reduced Search Space—0
SWAT Watershed Model Calibration using Deep Learning—0
Symbol-Level Precoding for Integrated Sensing and Communications: A Faster-Than-Nyquist Approach—0
A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms—0
Synthesis of Functional Unknown Input Observers for LTV and MIMO LTI Systems with Arbitrary Relative Degree—0
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization—0
System Identification of a Multi-timescale Adaptive Threshold Neuronal Model—0
Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution Transform—0
System-wide Instrument Transformer Calibration and Line Parameter Estimation Using PMU Data—0
Target Aware Poisson-Gaussian Noise Parameters Estimation from Noisy Images—0
Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation—0
Target Sensing With Off-grid Sparse Bayesian Learning for AFDM-ISAC System—0
Ten New Benchmarks for Optimization—0
Tensor-based process control and monitoring for semiconductor manufacturing with unstable disturbances—0
Tensor decompositions for learning latent variable models—0
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