1![SMITH - A Parallel Hardware Architecture for fast Gaussian Elimination over GF(2) A. Bogdanov, M.C. Mertens, C. Paar, J. Pelzl, A. Rupp Horst G¨ortz Institute for IT Security, Ruhr University Bochum, Germany {bogdanov,m SMITH - A Parallel Hardware Architecture for fast Gaussian Elimination over GF(2) A. Bogdanov, M.C. Mertens, C. Paar, J. Pelzl, A. Rupp Horst G¨ortz Institute for IT Security, Ruhr University Bochum, Germany {bogdanov,m](https://www.pdfsearch.io/img/1b7cc22dce9e7d76123f9345e5a5d9f2.jpg) | Add to Reading ListSource URL: www.hyperelliptic.orgLanguage: English - Date: 2006-03-21 11:51:07
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2![SMITH A parallel Hardware Architecture for fast Gaussian Elimination over GF(2) SMITH A parallel Hardware Architecture for fast Gaussian Elimination over GF(2)](https://www.pdfsearch.io/img/8917d66d21c58c78cf862cbe83f1164b.jpg) | Add to Reading ListSource URL: www.hyperelliptic.orgLanguage: English - Date: 2006-04-09 07:56:31
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3![](/pdf-icon.png) | Add to Reading ListSource URL: gaussian.com- Date: 2018-06-15 10:49:55
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4![](/pdf-icon.png) | Add to Reading ListSource URL: gaussian.com- Date: 2018-06-15 10:49:55
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5![](/pdf-icon.png) | Add to Reading ListSource URL: gaussian.com- Date: 2018-06-27 11:27:31
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6![Deeply Non-Stationary Gaussian Processes Hugh Salimbeni Imperial College London Deeply Non-Stationary Gaussian Processes Hugh Salimbeni Imperial College London](https://www.pdfsearch.io/img/2c795a9a279cd7f5b9c8d4b7656f4cb8.jpg) | Add to Reading ListSource URL: bayesiandeeplearning.orgLanguage: English - Date: 2017-12-20 07:34:09
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7![Sub-Gaussian estimators under heavy tails Roberto Imbuzeiro Oliveira XIX Escola Brasileira de Probabilidade Maresias, August 6th 2015 Sub-Gaussian estimators under heavy tails Roberto Imbuzeiro Oliveira XIX Escola Brasileira de Probabilidade Maresias, August 6th 2015](https://www.pdfsearch.io/img/f3d6f7d5b35e7fae1e0686f5fa800fa9.jpg) | Add to Reading ListSource URL: w3.impa.brLanguage: English - Date: 2015-08-22 17:09:15
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8![Linear Regression Kalman Filtering Based on Hyperspherical Deterministic Sampling Gerhard Kurz and Uwe D. Hanebeck Abstract— Nonlinear filtering based on Gaussian densities is commonly performed using so-called Linear Linear Regression Kalman Filtering Based on Hyperspherical Deterministic Sampling Gerhard Kurz and Uwe D. Hanebeck Abstract— Nonlinear filtering based on Gaussian densities is commonly performed using so-called Linear](https://www.pdfsearch.io/img/7294b84c94e4a5a7c4ea1c4854922e90.jpg) | Add to Reading ListSource URL: isas.uka.deLanguage: English - Date: 2017-12-20 11:43:12
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9![Optimal estimation of Gaussian mixtures via denoised method of moments Yihong Wu and Pengkun Yang∗ Working paper: July 15, 2018 Abstract Optimal estimation of Gaussian mixtures via denoised method of moments Yihong Wu and Pengkun Yang∗ Working paper: July 15, 2018 Abstract](https://www.pdfsearch.io/img/2bd8b64804ba3f9f22a51d5fe66da40d.jpg) | Add to Reading ListSource URL: www.stat.yale.eduLanguage: English - Date: 2018-07-15 13:30:43
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10![Self-reflective Multi-task Gaussian Process Kohei Hayashi1 , Takashi Takenouchi1 , Ryota Tomioka2 , Hisashi Kashima2 1 Graduate School of Information Science Nara Institute of Science and Technology Self-reflective Multi-task Gaussian Process Kohei Hayashi1 , Takashi Takenouchi1 , Ryota Tomioka2 , Hisashi Kashima2 1 Graduate School of Information Science Nara Institute of Science and Technology](https://www.pdfsearch.io/img/41fc146de65f5ec6a64bb254b0ee3a81.jpg) | Add to Reading ListSource URL: clopinet.comLanguage: English - Date: 2011-07-01 14:46:36
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