X
Search Filters
Format Format
Format Format
X
Sort by Item Count (A-Z)
Filter by Count
Journal Article (2694) 2694
Conference Proceeding (210) 210
Publication (168) 168
Book Chapter (42) 42
Dissertation (27) 27
Book / eBook (8) 8
Government Document (5) 5
Data Set (2) 2
Reference (2) 2
Paper (1) 1
Web Resource (1) 1
more...
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
mathematics (891) 891
mathematics, applied (778) 778
reproducing kernel hilbert space (768) 768
reproducing kernel (655) 655
analysis (450) 450
kernels (380) 380
hilbert space (349) 349
mathematical analysis (338) 338
algorithms (328) 328
reproducing kernels (294) 294
reproducing kernel hilbert spaces (281) 281
mathematical models (248) 248
approximation (224) 224
statistics & probability (206) 206
kernel (198) 198
mathematics, interdisciplinary applications (196) 196
mechanics (176) 176
reproducing kernel particle method (175) 175
interpolation (153) 153
mathematics, general (147) 147
operators (147) 147
regression (131) 131
meshless methods (129) 129
computer science, artificial intelligence (127) 127
engineering, multidisciplinary (127) 127
numerical analysis (127) 127
engineering, electrical & electronic (124) 124
methods (124) 124
convergence (122) 122
hilbert spaces (121) 121
applied mathematics (110) 110
regularization (110) 110
differential equations (103) 103
mathematical functions (102) 102
support vector machines (102) 102
46e22 (95) 95
reproducing kernel space (95) 95
kernel functions (92) 92
polynomials (92) 92
reproducing kernel method (88) 88
boundary value problems (86) 86
algebra (83) 83
machine learning (82) 82
models (82) 82
operator theory (82) 82
computer simulation (81) 81
boundary-value-problems (80) 80
algorithm (79) 79
classification (77) 77
spaces (77) 77
meshless method (76) 76
computer science (74) 74
applications of mathematics (73) 73
equations (69) 69
finite element method (69) 69
engineering (68) 68
partial differential equations (67) 67
functional analysis (66) 66
numerical-solution (65) 65
error analysis (64) 64
physics, mathematical (64) 64
research (64) 64
optimization (63) 63
automation & control systems (62) 62
learning theory (61) 61
usage (61) 61
boundary conditions (59) 59
meshfree method (59) 59
learning (57) 57
computer science, interdisciplinary applications (56) 56
mathematical theorems (56) 56
sampling (56) 56
sobolev space (55) 55
particle methods (54) 54
computational science and engineering (52) 52
nonlinearity (52) 52
space (52) 52
studies (52) 52
support vector machine (52) 52
mathematics - functional analysis (51) 51
statistics (50) 50
covariance (49) 49
estimators (49) 49
regression analysis (49) 49
eigenvalues (48) 48
analytic functions (47) 47
computer science, theory & methods (47) 47
hilbert-raum (47) 47
formulation (46) 46
hardy space (46) 46
computation (45) 45
computer science, software engineering (45) 45
representations (45) 45
gaussian processes (44) 44
kernel particle methods (43) 43
mathematical vectors (43) 43
theorem (43) 43
theorems (42) 42
47b32 (41) 41
artificial intelligence (41) 41
more...
Library Location Library Location
Language Language
Language Language
X
Sort by Item Count (A-Z)
Filter by Count
English (2861) 2861
Japanese (48) 48
Chinese (30) 30
Korean (13) 13
French (6) 6
German (4) 4
Portuguese (1) 1
Spanish (1) 1
Turkish (1) 1
more...
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


The Annals of Statistics, ISSN 0090-5364, 6/2008, Volume 36, Issue 3, pp. 1171 - 1220
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 09/2012, Volume 13, pp. 2529 - 2565
We propose a method for nonparametric density estimation that exhibits robustness to contamination of the training sample. This method achieves robustness by... 
Outlier | Influence function | Reproducing kernel Hilbert space | Kernel trick | M-estimation | REGRESSION | kernel trick | outlier | reproducing kernel Hilbert space | influence function | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
SIAM Journal on Scientific Computing, ISSN 1064-8275, 2018, Volume 40, Issue 2, pp. A697 - A720
Kernel quadratures and other kernel-based approximation methods typically suffer from prohibitive cubic time and quadratic space complexity in the number of... 
Bayesian quadrature | Sparse grids | Kernel quadrature | Reproducing kernel Hilbert spaces | Numerical integration | Fully symmetric sets | MATHEMATICS, APPLIED | numerical integration | ALGORITHM | REGIONS | fully symmetric sets | INTERPOLATORY RULES | DIMENSIONAL INTEGRATION | sparse grids | kernel quadrature | reproducing kernel Hilbert spaces | CUBATURE
Journal Article
The Annals of Statistics, ISSN 0090-5364, 8/2009, Volume 37, Issue 4, pp. 1871 - 1905
Journal Article
The Annals of Statistics, ISSN 0090-5364, 12/2010, Volume 38, Issue 6, pp. 3660 - 3695
Journal Article
Engineering Applications of Artificial Intelligence, ISSN 0952-1976, 09/2017, Volume 64, pp. 391 - 400
Multiple Kernel Learning (MKL) algorithms deals with learning the optimal kernel from training data along with learning the function that generates the data.... 
Multiple kernel learning | Reproducing kernel | Composite kernel functions | Support vector machine | Classification | ENGINEERING, MULTIDISCIPLINARY | FRAMEWORK | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Algorithms | Artificial intelligence | Analysis | Machine learning
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 08/2018, Volume 66, Issue 16, pp. 4377 - 4387
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 08/2004, Volume 52, Issue 8, pp. 2165 - 2176
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 03/2011, Volume 59, Issue 3, pp. 964 - 978
Journal Article
Journal of Computational Physics, ISSN 0021-9991, 07/2019, Volume 389, pp. 22 - 47
Learning can be seen as approximating an unknown function by interpolating the training data. Although Kriging offers a solution to this problem, it requires... 
Deep learning | Reproducing Kernel Hilbert space | Learning Kernels | Support vector machine | Data driven dynamical system | Kriging | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PHYSICS, MATHEMATICAL | Kernels | Learning | Training | Interpolation | Data points | Green's functions | Deformation | Approximation | Artificial neural networks | Flow mapping
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 06/2014, Volume 62, Issue 11, pp. 2765 - 2777
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 12/2013, Volume 14, pp. 3753 - 3783
A kernel method for realizing Bayes' rule is proposed, based on representations of probabilities in reproducing kernel Hilbert spaces. Probabilities are... 
Reproducing kernel Hilbert space | Bayes' rule | Kernel method | MONTE-CARLO | RATES | REDUCTION | kernel method | reproducing kernel Hilbert space | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 10/2009, Volume 57, Issue 10, pp. 3801 - 3814
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 03/2017, Volume 107, pp. 131 - 148
Journal Article
IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, 10/2019, Volume 55, Issue 5, pp. 2501 - 2515
Journal Article
The Annals of Statistics, ISSN 0090-5364, 2/2010, Volume 38, Issue 1, pp. 526 - 565
Journal Article
Applied Mathematics and Computation, ISSN 0096-3003, 05/2013, Volume 219, Issue 17, pp. 8938 - 8948
In this study, the numerical solution of Fredholm integro–differential equation is discussed in a reproducing kernel Hilbert space. A reproducing kernel... 
Reproducing kernel Hilbert space | Fredholm integro–differential equation | Exact solution | Fredholm integro-differential equation | MATHEMATICS, APPLIED | NUMERICAL-SOLUTION | INFINITE SYSTEM | BOUNDARY-VALUE-PROBLEMS | REPRESENTATION | Analysis | Methods | Differential equations
Journal Article