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Operator SVD with Neural Networks via Nested Low-Rank Approximation

Autor: Ryu, J. Jon, Xu, Xiangxiang, Erol, H. S. Melihcan, Bu, Yuheng, Zheng, Lizhong, Wornell, Gregory W.

Computing eigenvalue decomposition (EVD) of a given linear operator, or finding its leading eigenvalues and eigenfunctions, is a fundamental task in many machine learning and scientific computing problems. For high-dimensional eigenvalue problems, tr

Externí odkaz: http://arxiv.org/abs/2402.03655

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On Semi-Supervised Estimation of Distributions

Autor: Erol, H. S. Melihcan, Sula, Erixhen, Zheng, Lizhong

We study the problem of estimating the joint probability mass function (pmf) over two random variables. In particular, the estimation is based on the observation of $m$ samples containing both variables and $n$ samples missing one fixed variable. We

Externí odkaz: http://arxiv.org/abs/2305.07955

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Akademický článek

Financial Performance of Irrigation Associations: Selected Cases from Turkey

Autor: Erol H. Cakmak, Faruk Cenap Erdogan, Mehmet Cetik

Publikováno v: Journal of Agricultural and Marine Sciences, Vol 11, Iss 0, Pp 1-9 (2006)

The objective of the study was to trace the performance of selected irrigation associations after the transfer of operation and maintenance (O&M) activities from the state to the farmers. Four irrigation associations were selected according to the re

Externí odkaz: https://doaj.org/article/555dea666b2342f7923790378b026dba

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Variations on Hammersley's interacting particle process

Autor: Atalik, Arda, Erol, H. S. Melihcan, Yıldırım, Gökhan, Yilmaz, Mustafa

The longest increasing subsequence problem for permutations has been studied extensively in the last fifty years. The interpretation of the longest increasing subsequence as the longest 21-avoiding subsequence in the context of permutation patterns l

Externí odkaz: http://arxiv.org/abs/2106.11186

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