Výsledky vyhledávání - "Peleg, Yitzhak"

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Model Agnostic Combination for Ensemble Learning

Autor: Silbert, Ohad, Peleg, Yitzhak, Kopelowitz, Evi

Ensemble of models is well known to improve single model performance. We present a novel ensembling technique coined MAC that is designed to find the optimal function for combining models while remaining invariant to the number of sub-models involved

Externí odkaz: http://arxiv.org/abs/2006.09025

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Interpreting Electrical-Resistivity Tomography measurements using Neural Network

Autor: Naeh, Itay, Peleg, Yitzhak, Furman, Alex, Mannor, Shie

Electrical Resistivity Tomography (ERT) has been extensively used for imaging the subsurface resistivity distribution and structure. Over the years, many algorithms have been developed in order to solve the subsurface resistivity distribution from th

Externí odkaz: http://arxiv.org/abs/1805.03698

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A Mean-field Approach for an Intercarrier Interference Canceller for OFDM

Autor: Sakata, Ayaka, Kabashima, Yoshiyuki, Peleg, Yitzhak

The similarity of the mathematical description of random-field spin systems to orthogonal frequency-division multiplexing (OFDM) scheme for wireless communication is exploited in an intercarrier-interference (ICI) canceller used in the demodulation o

Externí odkaz: http://arxiv.org/abs/1205.3594

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Mutual information via thermodynamics: Three different approaches

Autor: Peleg, Yitzhak, Efraim, Hadar, Shental, Ori, Kanter, Ido

Publikováno v: J. Stat. Mech. (2010) P01014

Three different approaches to derive mutual information via thermodynamics are presented where the temperature-dependent energy is given by: (a) $\beta \mathcal{E} = -\ln[P(X,Y)]$, (b) $\beta \mathcal{E} =-\ln[P(Y|X)]$ or (c) $\beta \mathcal{E} =-\ln

Externí odkaz: http://arxiv.org/abs/0911.3751

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