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12![We investigate statistical aspects of subsampling for large-scale linear regression under label budget constraints. In many applications, we have access to large datasets (such as healthcare records, database of building We investigate statistical aspects of subsampling for large-scale linear regression under label budget constraints. In many applications, we have access to large datasets (such as healthcare records, database of building](https://www.pdfsearch.io/img/0b4db32c1d7a2c68a6f43b4821f51ded.jpg) | Add to Reading ListSource URL: mmds-data.org- Date: 2016-06-23 15:50:48
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14![1 Random Sampling • Input: – ListN ] – Length of database N (if known) – Length of sample n • Output: 1 Random Sampling • Input: – ListN ] – Length of database N (if known) – Length of sample n • Output:](https://www.pdfsearch.io/img/25e169e50ed742e2f7c9a862314bccf8.jpg) | Add to Reading ListSource URL: florian-schoppmann.netLanguage: English - Date: 2016-03-04 03:20:28
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17![BITRE STATISTICAL ALERT 23 May 2014 Road Safety Annual Report 2014 International Traffic Safety Data and Analysis Group The International Transport Forum at the OECD released its Road Safety Annual Report for the 31 coun BITRE STATISTICAL ALERT 23 May 2014 Road Safety Annual Report 2014 International Traffic Safety Data and Analysis Group The International Transport Forum at the OECD released its Road Safety Annual Report for the 31 coun](https://www.pdfsearch.io/img/fb8717647e78f9ad4a0e4bd983b6764a.jpg) | Add to Reading ListSource URL: bitre.gov.auLanguage: English - Date: 2015-05-20 03:24:00
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18![Model selection Large scale model selection Summary and open problems Model Selection and Computational Oracle Inequalities for Large Scale Problems Model selection Large scale model selection Summary and open problems Model Selection and Computational Oracle Inequalities for Large Scale Problems](https://www.pdfsearch.io/img/fbf9b06762535e282b0de73c71c41bf5.jpg) | Add to Reading ListSource URL: mmds-data.orgLanguage: English - Date: 2016-03-09 01:29:53
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19![Proceedings on Privacy Enhancing Technologies ; ):184–201 Raphael R. Toledo, George Danezis, and Ian Goldberg Lower-Cost -Private Information Retrieval Abstract: Private Information Retrieval (PIR), despite be Proceedings on Privacy Enhancing Technologies ; ):184–201 Raphael R. Toledo, George Danezis, and Ian Goldberg Lower-Cost -Private Information Retrieval Abstract: Private Information Retrieval (PIR), despite be](https://www.pdfsearch.io/img/0f4ec7b55f8146203a5ab7dc27d15115.jpg) | Add to Reading ListSource URL: www0.cs.ucl.ac.ukLanguage: English - Date: 2016-07-29 09:16:35
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20![NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes Schulz NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes Schulz](https://www.pdfsearch.io/img/0d2d3e1c1b02e475cad798fa2f53a1ce.jpg) | Add to Reading ListSource URL: amueller.github.ioLanguage: English - Date: 2016-08-04 15:59:56
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