Hrushikesh Mhaskar

Affiliations: 
Mathematics California Institute of Technology, Pasadena, CA 
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Publications

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Mhaskar H, Poggio TA. (2020) An analysis of training and generalization errors in shallow and deep networks. Neural Networks. 121: 229-241
Mhaskar H, Pereverzyev SV, Semenov VY, et al. (2019) Data Based Construction of Kernels for Semi-Supervised Learning With Less Labels Frontiers in Applied Mathematics and Statistics. 5
Poggio TA, Mhaskar H, Rosasco L, et al. (2017) Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review International Journal of Automation and Computing. 14: 503-519
Jayaraman Raghuram K, Chandrasekaran S, Moffitt J, et al. (2012) Higher order numerical discretizations for exterior and biharmonic type PDEs Journal of Computational and Applied Mathematics. 236: 4762-4774
Mhaskar HN, Prestin J. (2009) Polynomial operators for spectral approximation of piecewise analytic functions Applied and Computational Harmonic Analysis. 26: 121-142
Mhaskar HN. (2006) Weighted quadrature formulas and approximation by zonal function networks on the sphere Journal of Complexity. 22: 348-370
Mhaskar HN, Narcowich FJ, Sivakumar N, et al. (2002) Approximation with interpolatory constraints Proceedings of the American Mathematical Society. 130: 1355-1364
Mhaskar HN. (2002) On the representation of band limited functions using finitely many bits Journal of Complexity. 18: 449-478
Mhaskar HN. (1990) Approximation in certain intermediate spaces Journal of Approximation Theory. 62: 110-132
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