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parameter estimation

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Showing 1451–1500 of 1719 papers

TitleStatusHype
Towards a Unified Compositional Model for Visual Pattern Modeling—0
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories—0
A Hierarchical Probabilistic Model for Facial Feature Detection—0
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic ProgramsCode0
Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet ProcessesCode0
Accelerated Reconstruction of Perfusion-Weighted MRI Enforcing Jointly Local and Nonlocal Spatio-temporal Constraints—0
A Tutorial on Hawkes Processes for Events in Social Media—0
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications—0
Sparse model selection via integral terms—0
High-Dimensional Structured Quantile Regression—0
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity—0
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm—0
Scalable Generative Models for Multi-label Learning with Missing Labels—0
Large Deviation Theory for Parameter Estimation in Simple Neuron Models—0
Collaborative Nested Sampling: Big Data vs. complex physical modelsCode0
Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos—0
An Augmented Lagrangian Method for Piano Transcription using Equal Loudness Thresholding and LSTM-based Decoding—0
Awkt: A Physicochemical Parameter Estimation Tool for Capillary Zone Electrophoresis—0
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian OptimizationCode0
Time Series Data Cleaning: From Anomaly Detection to Anomaly RepairingCode0
An Expectation-Maximization Algorithm for the Fractal Inverse ProblemCode0
Stock Trading Using PE ratio: A Dynamic Bayesian Network Modeling on Behavioral Finance and Fundamental Investment—0
Calibration and Filtering of Exponential L\'evy Option Pricing Models—0
Actuarial Applications and Estimation of Extended~CreditRisk^+—0
Parameter Estimation in Computational Biology by Approximate Bayesian Computation coupled with Sensitivity AnalysisCode0
Not All Dialogues are Created Equal: Instance Weighting for Neural Conversational Models—0
Particle Filtering for PLCA model with Application to Music Transcription—0
Robustness of Maximum Correntropy Estimation Against Large Outliers—0
Online Simultaneous State and Parameter Estimation for Second-order Nonlinear Systems—0
Trimmed Density Ratio EstimationCode0
The variational Laplace approach to approximate Bayesian inference—0
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation—0
Guaranteed Parameter Estimation for Discrete Energy Minimization—0
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics—0
Partial Membership Latent Dirichlet AllocationCode0
A Latent-class Model for Estimating Product-choice Probabilities from Clickstream Data—0
Bayesian methods for solving estimation and forecasting problems in the high-frequency trading environmentCode0
Distributed Gaussian Learning over Time-varying Directed Graphs—0
Exact Recovery of Hard Thresholding Pursuit—0
Semiparametric Differential Graph Models—0
Parameter estimation of Japanese predicate argument structure analysis model using eye gaze information—0
Graph Learning from Data under Structural and Laplacian ConstraintsCode0
Error concealment by means of motion refinement and regularized Bregman divergence—0
Trusting SVM for Piecewise Linear CNNsCode0
LSTM Shift-Reduce CCG Parsing—0
Online Maximum Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes—0
Fast and Reliable Parameter Estimation from Nonlinear Observations—0
Fast L1-NMF for Multiple Parametric Model EstimationCode0
Estimating Propensity Parameters using Google PageRank and Genetic Algorithms—0
Sparse principal component regression for generalized linear models—0
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