Pages that link to "Item:Q1884608"
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The following pages link to Optimal aggregation of classifiers in statistical learning. (Q1884608):
Displaying 38 items.
- A linear response bandit problem (Q5168867) (← links)
- Consistency of plug-in confidence sets for classification in semi-supervised learning (Q5221297) (← links)
- Robust randomized optimization with k nearest neighbors (Q5236747) (← links)
- Classification with reject option (Q5295962) (← links)
- Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection (Q5327201) (← links)
- A Note on Support Vector Machines with Polynomial Kernels (Q5380381) (← links)
- Learning Theory Estimates with Observations from General Stationary Stochastic Processes (Q5380606) (← links)
- Generalization Analysis of Fredholm Kernel Regularized Classifiers (Q5380820) (← links)
- Learning Rates for Classification with Gaussian Kernels (Q5380881) (← links)
- (Q5381119) (← links)
- Variance-based regularization with convex objectives (Q5381122) (← links)
- (Q5381137) (← links)
- Embedding Learning (Q5881086) (← links)
- Some properties of Gaussian reproducing kernel Hilbert spaces and their implications for function approximation and learning theory (Q5962345) (← links)
- Adaptation to lowest density regions with application to support recovery (Q5963522) (← links)
- Randomized allocation with arm elimination in a bandit problem with covariates (Q5965323) (← links)
- Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates (Q6069485) (← links)
- Fast convergence rates of deep neural networks for classification (Q6078714) (← links)
- Debiased machine learning of set-identified linear models (Q6108325) (← links)
- Error analysis of classification learning algorithms based on LUMs loss (Q6112861) (← links)
- Optimal discriminant analysis in high-dimensional latent factor models (Q6136589) (← links)
- Deep neural network classifier for multidimensional functional data (Q6140335) (← links)
- Collaborative Multilabel Classification (Q6165279) (← links)
- Optimal convergence rates of deep neural networks in a classification setting (Q6184926) (← links)
- Transfer learning for contextual multi-armed bandits (Q6192325) (← links)
- Improving reinforcement learning algorithms: Towards optimal learning rate policies (Q6196297) (← links)
- Multiclass classification for multidimensional functional data through deep neural networks (Q6200908) (← links)
- Deep spectral Q-learning with application to mobile health (Q6548807) (← links)
- Adaptive Algorithm for Multi-Armed Bandit Problem with High-Dimensional Covariates (Q6567892) (← links)
- Optimal classification for functional data (Q6593375) (← links)
- ORKM: online regularized \(K\)-means clustering for online multi-view data (Q6595308) (← links)
- Review on functional data classification (Q6604352) (← links)
- A survey on Neyman-Pearson classification and suggestions for future research (Q6604482) (← links)
- Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization (Q6631700) (← links)
- Functional data analysis using deep neural networks (Q6642756) (← links)
- Functional sequential treatment allocation with covariates (Q6667294) (← links)
- Prediction intervals with controlled length in the heteroscedastic Gaussian regression (Q6667623) (← links)
- High-dimensional sparse classification using exponential weighting with empirical hinge loss (Q6668598) (← links)
