Pages that link to "Item:Q2423180"
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The following pages link to Optimal subsampling for softmax regression (Q2423180):
Displaying 31 items.
- Optimal subsampling for composite quantile regression in big data (Q2093142) (← links)
- Subdata selection algorithm for linear model discrimination (Q2110346) (← links)
- Optimal subsample selection for massive logistic regression with distributed data (Q2135922) (← links)
- A two-stage optimal subsampling estimation for missing data problems with large-scale data (Q2143025) (← links)
- Inversion-free subsampling Newton's method for large sample logistic regression (Q2151694) (← links)
- Crawling subsampling for multivariate spatial autoregression model in large-scale networks (Q2233551) (← links)
- A quasi-Monte Carlo data compression algorithm for machine learning (Q2238850) (← links)
- Divide-and-conquer information-based optimal subdata selection algorithm (Q2321778) (← links)
- (Q5004042) (← links)
- OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer (Q5105617) (← links)
- More efficient estimation for logistic regression with optimal subsamples (Q5214224) (← links)
- Subsampled Hessian Newton Methods for Supervised Learning (Q5380307) (← links)
- Sublinear optimization for machine learning (Q5395692) (← links)
- Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling (Q6039876) (← links)
- Fast Calibration for Computer Models with Massive Physical Observations (Q6062240) (← links)
- Optimal subsampling design for polynomial regression in one covariate (Q6080688) (← links)
- A model robust subsampling approach for generalised linear models in big data settings (Q6080693) (← links)
- Model constraints independent optimal subsampling probabilities for softmax regression (Q6101697) (← links)
- Subsampling in longitudinal models (Q6164867) (← links)
- Optimal subsampling for functional quantile regression (Q6201371) (← links)
- Optimal subsampling for modal regression in massive data (Q6536764) (← links)
- A review on design inspired subsampling for big data (Q6549149) (← links)
- Approximating Partial Likelihood Estimators via Optimal Subsampling (Q6552553) (← links)
- Deterministic subsampling for logistic regression with massive data (Q6567421) (← links)
- Robust and efficient subsampling algorithms for massive data logistic regression (Q6579821) (← links)
- Optimal Poisson subsampling for softmax regression (Q6594939) (← links)
- A distance metric-based space-filling subsampling method for nonparametric models (Q6595793) (← links)
- On the inversion-free Newton's method and its applications (Q6612368) (← links)
- A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques (Q6620576) (← links)
- Efficient Model-Free Subsampling Method for Massive Data (Q6631202) (← links)
- Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models (Q6662587) (← links)