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Machine Learning, ISSN 0885-6125, 9/2003, Volume 52, Issue 3, pp. 239 - 281
Journal Article
Neurocomputing, ISSN 0925-2312, 10/2019, Volume 361, pp. 222 - 228
Learning theory of distributed kernel methods has attracted much attentions recently. However, the existing theory analysis is limited to the kernel regression... 
Integral operator | Reproducing kernel Hilbert space | Generalization error | Ranking | Divide and conquer | CLASSIFICATION | ALGORITHMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms
Journal Article
Machine Learning, ISSN 0885-6125, 12/2019, Volume 108, Issue 12, pp. 2087 - 2111
We introduce the speculate-correct method to derive error bounds for local classifiers. Using it, we show that k-nearest neighbor classifiers, in spite of... 
Control, Robotics, Mechatronics | Nearest neighbors | Artificial Intelligence | Computer Science | Natural Language Processing (NLP) | Error bounds | Simulation and Modeling | Generalization | Classifiers | K nearest neighbour classification tree analysis | Error correction
Journal Article
Journal of Neurophysiology, ISSN 0022-3077, 07/2018, Volume 120, Issue 1, pp. 162 - 170
People perceive better in cardinal directions compared with oblique ones. This directional effect, called oblique effect, has been documented in perception... 
Motor adaptation | Visuomotor rotation | Motor generalization | Error saliency | Oblique effect | HAPTIC PERCEPTION | PHYSIOLOGY | motor adaptation | error saliency | oblique effect | REACHING MOVEMENTS | INTERNAL-MODELS | NEUROSCIENCES | motor generalization | CONSOLIDATION | VISUAL-CORTEX | ORIENTATION | ADAPTATION | DYNAMICS | MOTOR MEMORY | SENSORY PREDICTION | visuomotor rotation
Journal Article
Information Sciences, ISSN 0020-0255, 03/2019, Volume 477, pp. 246 - 264
Repeated learning-testing (RLT) is a popular cross-validation method that is usually adopted in estimation and comparison of algorithm performance in machine... 
Data partitioning | Generalization error | Regularization | Repeated learning-testing | Overlapping sample | CROSS-VALIDATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | INFERENCE
Journal Article
Neurocomputing, ISSN 0925-2312, 02/2013, Volume 102, pp. 3 - 9
The initial localized generalization error model (LGEM) aims to find an upper bound of error between a target function and a radial basis function neural... 
Network architecture selection | Sensitivity measure | Extreme learning machine | Cross validation (CV) | Localized generalization error | Training | Errors | Algorithms | Architecture | Neural networks | Data sets | Error detection | Mathematical models
Journal Article
NEUROCOMPUTING, ISSN 0925-2312, 02/2013, Volume 102, pp. 3 - 9
The initial localized generalization error model (LGEM) aims to find an upper bound of error between a target function and a radial basis function neural... 
Sensitivity measure | Extreme learning machine | Cross validation (CV) | Network architecture selection | Localized generalization error | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 7/2019, pp. 1 - 8
In this brief, heterogeneity and noise in big data are shown to increase the generalization error for a traditional learning regime utilized for deep neural... 
exploratory learning | Error-driven | generalization error | neural network
Journal Article
Israel Journal of Mathematics, ISSN 0021-2172, 9/2017, Volume 221, Issue 1, pp. 445 - 469
We study the absorbing invariant set of a dynamical system defined by a map derived from Error Diffusion, a greedy online approximation algorithm that... 
Algebra | Analysis | Theoretical, Mathematical and Computational Physics | Mathematics, general | Mathematics | Group Theory and Generalizations | Applications of Mathematics | MATHEMATICS | CONVEX DYNAMICS | AFFINE MAPS | PIECEWISE ROTATIONS | SETS | Algorithms | Research | Mathematical research | Error analysis (Mathematics) | Invariants
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 05/2016, Volume 27, Issue 5, pp. 978 - 992
Journal Article