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by Liu, Xia and Xu, Lin
Neurocomputing (Amsterdam), ISSN 0925-2312, 2018, Volume 311, pp. 176 - 182
.... One is to verify the strongly universal consistency of the ELM estimator, and the other is to present a sufficient and the necessary condition for the activation function, where the corresponding ELM estimator is strongly universally consistent. The obtained results underlie the feasibility of ELM and provide a theoretical guidance of the selection of activation functions in ELM learning. 
Universal consistency | Extreme learning machine | Neural networks | Activation function | REGRESSION | NEURAL-NETWORKS | APPROXIMATION | FACE RECOGNITION | MULTILAYER FEEDFORWARD NETWORKS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | KERNELS
Journal Article
2015, 1st ed. 2015, ISBN 3319101021, 563
.... The contributions range from philosophical reflections and re-evaluations of Gentzen's original consistency proofs to the most recent developments in proof theory... 
Mathematics | Proof theory | Computer science | Mathematical Logic and Foundations | Mathematical Logic and Formal Languages
eBook
IEEE transactions on information theory, ISSN 1557-9654, 2019, Volume 65, Issue 1, pp. 538 - 550
Journal Article
Leibniz International Proceedings in Informatics, LIPIcs, ISSN 1868-8969, 08/2018, Volume 117
Conference Proceeding
Neurocomputing, ISSN 0925-2312, 11/2018, Volume 315, pp. 96 - 106
The massive amount of available data potentially used to discover patterns in machine learning is a challenge for kernel based algorithms with respect to... 
Reproducing kernel Hilbert space | Robustness | Universal consistency | Localized learning | Machine learning | CLASSIFICATION | ALGORITHMS | RANKING | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms
Journal Article
Annals of the Institute of Statistical Mathematics, ISSN 1572-9052, 2018, Volume 71, Issue 5, pp. 1233 - 1263
A general result concerning the strong universal consistency of local averaging regression estimates is presented, which is used to extend previously known results on the strong universal consistency... 
Statistics for Business, Management, Economics, Finance, Insurance | Strong universal consistency | Statistics, general | Regression estimation | L_2$$ L 2 error | Statistics | Local averaging estimates | L_2$$L2error | POINTWISE CONSISTENCY | LARGE NUMBERS | L-2 error | NONPARAMETRIC-ESTIMATION | CONVERGENCE | STATISTICS & PROBABILITY | STRONG LAW | Regression | Regression analysis | Estimates | Consistency
Journal Article
Neurocomputing, ISSN 0925-2312, 11/2015, Volume 168, pp. 1132 - 1137
This paper concerns the universal consistency of extreme learning machine (ELM) for radial basis function networks (RBFNs... 
Extreme learning machine | Radial basis function networks | Universal consistency | APPROXIMATION | FACE RECOGNITION | NETWORKS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Colloquium Mathematicum, ISSN 0010-1354, 2017, Volume 146, Issue 1, pp. 1 - 13
We prove the consistency of a strong uniformization principle for subsets of the Baire space of cardinality N-1. 
Abelian groups | Set theory | Uniformization | Whitehead splitters | Forcing | MATHEMATICS | abelian groups | forcing | uniformization | UNIVERSAL GRAPHS | INSTANCES | set theory
Journal Article
2018, Trends in Logic, ISBN 3319987968, Volume 47, 323
Most of the papers, but not all, are developed around the subtle distinctions between consistency and non-contradiction, as well as among contradiction, inconsistency, and triviality, and concern one... 
Contradiction | Ontology | Logic | Philosophy | Mathematical Logic and Foundations
eBook
04/2018, ISBN 1119439191, 6
This chapter inroduces a classification methods known as consistency that solves all classification problems optimally, at least as the number of data, n, increases without bound... 
universal consistency | Bayes classifier | classification problems | theorems | Asymptopia
Book Chapter
Wireless Personal Communications, ISSN 0929-6212, 4/2017, Volume 93, Issue 3, pp. 779 - 793
...Wireless Pers Commun (2017) 93:779–793 DOI 10.1007/s11277-014-2228-7 Practical Consistency Between Bit-Error and Block-Error Performance Metrics... 
Engineering | Signal,Image and Speech Processing | BLER | Communications Engineering, Networks | QoS metrics | PSQM | Computer Communication Networks | BER | TELECOMMUNICATIONS | Engineering research | Third generation wireless technology | Research
Journal Article
2011, Iste, ISBN 1848212526, cm.
Starting with an updated description of Allen's calculus, the book proceeds with a description of the main qualitative calculi which have been developed over... 
Qualitative reasoning | Spatial analysis (Statistics) | Space and time | Logic, Symbolic and mathematical | Mathematical models
Book
Analysis and Applications, ISSN 0219-5305, 11/2016, Volume 14, Issue 6, pp. 795 - 808
Statistical machine learning plays an important role in modern statistics and computer science. One main goal of statistical machine learning is to provide... 
Dugundji extension theorem | universal consistency | Lusin's theorem | Machine learning | denseness | reproducing kernel Hilbert space | kernel learning | SPARSITY | MATHEMATICS, APPLIED | KERNEL HILBERT-SPACES | MULTIPLE | RANKING | MATHEMATICS
Journal Article
International Journal of Game Theory, ISSN 0020-7276, 6/2009, Volume 38, Issue 2, pp. 193 - 207
Journal Article
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