The following pages link to Ding-Xuan Zhou (Q189517):
Displaying 50 items.
- Consistency analysis of an empirical minimum error entropy algorithm (Q285539) (← links)
- On the robustness of regularized pairwise learning methods based on kernels (Q325147) (← links)
- Approximation analysis of learning algorithms for support vector regression and quantile regression (Q411126) (← links)
- An empirical feature-based learning algorithm producing sparse approximations (Q413648) (← links)
- Online learning for quantile regression and support vector regression (Q451190) (← links)
- Unregularized online learning algorithms with general loss functions (Q504379) (← links)
- Minimax optimal rates of estimation in high dimensional additive models (Q510684) (← links)
- Learning by nonsymmetric kernels with data dependent spaces and \(\ell^1\)-regularizer (Q543025) (← links)
- Learning gradients on manifolds (Q605040) (← links)
- Optimal learning rates for least squares regularized regression with unbounded sampling (Q617656) (← links)
- Learning random monotone DNF (Q628302) (← links)
- Uncertainty constants and quasispline wavelets (Q629261) (← links)
- Semi-supervised learning with the help of Parzen windows (Q640960) (← links)
- Learning with varying insensitive loss (Q654259) (← links)
- Concentration estimates for the moving least-square method in learning theory (Q719353) (← links)
- Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge (Q747246) (← links)
- Learning relational dependency networks in hybrid domains (Q747248) (← links)
- Geometry on probability spaces (Q843724) (← links)
- Multi-kernel regularized classifiers (Q870343) (← links)
- Learning theory approach to a system identification problem involving atomic norm (Q895425) (← links)
- Reproducing kernel Hilbert spaces associated with analytic translation-invariant Mercer kernels (Q939089) (← links)
- Derivative reproducing properties for kernel methods in learning theory (Q939547) (← links)
- Parzen windows for multi-class classification (Q958247) (← links)
- Learning and approximation by Gaussians on Riemannian manifolds (Q960002) (← links)
- Moving least-square method in learning theory (Q968963) (← links)
- High order Parzen windows and randomized sampling (Q1047130) (← links)
- Gradient learning in a classification setting by gradient descent (Q1048984) (← links)
- Global smoothness preservation and the variation-diminishing property (Q1125206) (← links)
- (Q1178499) (redirect page) (← links)
- \(L^ p\)-inverse theorems for beta operators (Q1178500) (← links)
- On a conjecture of Z. Ditzian (Q1190998) (← links)
- Inverse theorems for multidimensional Bernstein-Durrmeyer operators in \(L_ p\) (Q1191741) (← links)
- Inverse theorems in \(L^ p\) for some multidimensional positive linear operators (Q1192403) (← links)
- (Q1260909) (redirect page) (← links)
- On equilibria of non-compact generalized games (Q1260910) (← links)
- The \(p\)-norm joint spectral radius for even integers (Q1270874) (← links)
- Inhomogeneous refinement equations (Q1282027) (← links)
- Some characterizations for box spline wavelets and linear Diophantine equations (Q1293547) (← links)
- Converse theorems for multidimensional Kantorovich operators (Q1313676) (← links)
- Weighted approximation by Szász-Mirakjan operators (Q1325768) (← links)
- Weighted approximation by multidimensional Bernstein operators (Q1325769) (← links)
- On wavelets in \(L_ 1\) (Q1327824) (← links)
- A class of operators by means of three-diagonal matrices (Q1331077) (← links)
- A note on derivatives of Bernstein polynomials (Q1332294) (← links)
- Existence of multiple refinable distributions (Q1371326) (← links)
- Compactly supported wavelet bases for Sobolev spaces (Q1413108) (← links)
- Two-scale homogeneous functions in wavelet analysis. (Q1565955) (← links)
- Supports of locally linearly independent \(M\)-refinable functions, attractors of iterated function systems and tilings (Q1610210) (← links)
- Optimal learning rates for kernel partial least squares (Q1645280) (← links)
- Analysis of approximation by linear operators on variable \(L_\rho^{p(\cdot)}\) spaces and applications in learning theory (Q1724144) (← links)
