Paul C. Kainen

Comb., June, 2024

On Dispersability of Some Circulant Graphs.

[BibT_eX]

[DOI]

Samuel Joslin

Shannon Overbay

J. Graph Algorithms Appl., 2024

Star arboricity relaxed book thickness of K<sub>n</sub>.

[BibT_eX]

[DOI]

CoRR, 2024

Complexity of graph evolutions.

[BibT_eX]

[DOI]

Jeffrey Gao

CoRR, 2024

2023

Canonical Sphere Bases for Simplicial and Cubical Complexes.

[BibT_eX]

[DOI]

CoRR, 2023

Bochner integrals and neural networks.

[BibT_eX]

[DOI]

CoRR, 2023

Construction numbers: How to build a graph?

[BibT_eX]

[DOI]

CoRR, 2023

2021

A New View of Hypercube Genus.

[BibT_eX]

[DOI]

Am. Math. Mon., 2021

Lunaport: Math, Mechanics & Transport.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Approximative compactness of linear combinations of characteristic functions.

[BibT_eX]

[DOI]

J. Approx. Theory, 2020

On 2-skeleta of hypercubes.

[BibT_eX]

[DOI]

Art Discret. Appl. Math., 2020

Sphere decompositions of hypercubes.

[BibT_eX]

[DOI]

Art Discret. Appl. Math., 2020

2018

Graph Bases and Diagram Commutativity.

[BibT_eX]

[DOI]

Graphs Comb., 2018

Robust cycle bases do not exist for if.

[BibT_eX]

[DOI]

Discret. Appl. Math., 2018

2015

Cycle construction and geodesic cycles with application to the hypercube.

[BibT_eX]

[DOI]

Ars Math. Contemp., 2015

2014

Comparing fixed and variable-width Gaussian networks.

[BibT_eX]

[DOI]

Neural Networks, 2014

2013

Bochner Integrals and Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Handbook on Neural Information Processing, 2013

Approximating Multivariable Functions by Feedforward Neural Nets.

[BibT_eX]

[DOI]

Proceedings of the Handbook on Neural Information Processing, 2013

2012

Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

2011

Kernel Networks with Fixed and Variable Widths.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2009

An Integral Upper Bound for Neural Network Approximation.

[BibT_eX]

[DOI]

Neural Comput., 2009

Complexity of Gaussian-radial-basis networks approximating smooth functions.

[BibT_eX]

[DOI]

J. Complex., 2009

On Tractability of Neural-Network Approximation.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008

Estimates of Network Complexity and Integral Representations.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

2007

A Sobolev-type upper bound for rates of approximation by linear combinations of Heaviside plane waves.

[BibT_eX]

[DOI]

J. Approx. Theory, 2007

Extension of a theorem of Whitney.

[BibT_eX]

[DOI]

Shannon Overbay

Appl. Math. Lett., 2007

Estimates of Approximation Rates by Gaussian Radial-Basis Functions.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2005

Rates of Minimization of Error Functionals over Boolean Variable-Basis Functions.

[BibT_eX]

[DOI]

J. Math. Model. Algorithms, 2005

2004

Minimization of Error Functionals over Variable-Basis Functions.

[BibT_eX]

[DOI]

SIAM J. Optim., 2004

Replacing points by compacta in neural network approximation.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2004

2003

Best approximation by linear combinations of characteristic functions of half-spaces.

[BibT_eX]

[DOI]

J. Approx. Theory, 2003

2002

On robust cycle bases.

[BibT_eX]

[DOI]

Electron. Notes Discret. Math., 2002

2001

Continuity of Approximation by Neural Networks in Lp Spaces.

[BibT_eX]

[DOI]

Ann. Oper. Res., 2001

2000

Best approximation by Heaviside perceptron networks.

[BibT_eX]

[DOI]

Neural Networks, 2000

Convex Geometry and Nonlinear Approximation.

[BibT_eX]

[DOI]

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Approximation by neural networks is not continuous.

[BibT_eX]

[DOI]

Neurocomputing, 1999

1997

Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces.

[BibT_eX]

[DOI]

Vladik Kreinovich

Neural Networks, 1997

1996

A geometric method to obtain error-correcting classification by neural networks with fewer hidden units.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1994

Uniqueness of network parametrization and faster learning.

[BibT_eX]

[DOI]

Vladik Kreinovich

Ongard Sirisaengtaksin

Neural Parallel Sci. Comput., 1994

Functionally Equivalent Feedforward Neural Networks.

[BibT_eX]

[DOI]

Neural Comput., 1994

1979

The book thickness of a graph.

[BibT_eX]

[DOI]

Frank Bernhart

J. Comb. Theory B, 1979

1978

On stable crossing numbers.

[BibT_eX]

[DOI]

Arthur T. White

J. Graph Theory, 1978

On finite superuniversal graphs.

[BibT_eX]

[DOI]

Paul Erdös

Stephen H. Hechler