Regularized modal regression with data-dependent hypothesis spaces
DOI10.1142/S0219691319500474zbMath1433.62181OpenAlexW2949151031MaRDI QIDQ5204652
No author found.
Publication date: 5 December 2019
Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0219691319500474
robustnesskernel density estimationmodal regressiongeneralization errordata-dependent hypothesis spaces
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) General nonlinear regression (62J02) Learning and adaptive systems in artificial intelligence (68T05)
Related Items (1)
Cites Work
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Nonparametric modal regression in the presence of measurement error
- Nonparametric modal regression
- Regression towards the mode
- Concentration estimates for learning with \(\ell ^{1}\)-regularizer and data dependent hypothesis spaces
- Mode regression
- Least square regression with indefinite kernels and coefficient regularization
- Multi-kernel regularized classifiers
- Maximum likelihood estimation of isotonic modal regression
- Quadratic mode regression
- A note on prediction via estimation of the conditional mode function
- Learning theory estimates for coefficient-based regularized regression
- Concentration estimates for learning with unbounded sampling
- Learning with sample dependent hypothesis spaces
- Kernel-based sparse regression with the correntropy-induced loss
- A New Regression Model: Modal Linear Regression
- Local modal regression
- Learning Theory
- Support Vector Machines
- A Statistical Learning Approach to Modal Regression
- Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection
- A Blind Watermarking Scheme Using New Nontensor Product Wavelet Filter Banks
- Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery
- Generalization Analysis of Fredholm Kernel Regularized Classifiers
- Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery
- On Estimation of a Probability Density Function and Mode
This page was built for publication: Regularized modal regression with data-dependent hypothesis spaces