Compressed linear algebra for large-scale machine learning von Elgohary, Ahmed, Boehm, Matthias, Haas, Peter J., Reiss, Frederick R., Reinwald, Berthold

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Giving Text Analytics a Boost von Polig, Raphael, Atasu, Kubilay, Chiticariu, Laura, Hagleitner, Christoph, Hofstee, H. Peter, Reiss, Frederick R., Zhu, Huaiyu, Sitaridi, Eva

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SparkBench – A Spark Performance Testing Suite von Agrawal, Dakshi, Butt, Ali, Doshi, Kshitij, Larriba-Pey, Josep-L., Li, Min, Reiss, Frederick R, Raab, Francois, Schiefer, Berni, Suzumura, Toyotaro, Xia, Yinglong

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Document Spanners: A Formal Approach to Information Extraction von Fagin, Ronald, Kimelfeld, Benny, Reiss, Frederick, Vansummeren, Stijn

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SystemML: declarative machine learning on spark von Boehm, Matthias, Dusenberry, Michael W., Eriksson, Deron, Evfimievski, Alexandre V., Manshadi, Faraz Makari, Pansare, Niketan, Reinwald, Berthold, Reiss, Frederick R., Sen, Prithviraj, Surve, Arvind C., Tatikonda, Shirish

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Declarative Cleaning of Inconsistencies in Information Extraction von Fagin, Ronald, Kimelfeld, Benny, Reiss, Frederick, Vansummeren, Stijn

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Compressed linear algebra for large-scale machine learning von Elgohary, Ahmed, Boehm, Matthias, Haas, Peter J., Reiss, Frederick R., Reinwald, Berthold

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A hardware compilation framework for text analytics queries von Polig, Raphael, Atasu, Kubilay, Giefers, Heiner, Hagleitner, Christoph, Chiticariu, Laura, Reiss, Frederick, Zhu, Huaiyu, Hofstee, Peter

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Main-memory scan sharing for multi-core CPUs von Qiao, Lin, Raman, Vijayshankar, Reiss, Frederick, Haas, Peter J., Lohman, Guy M.

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Automatic rule refinement for information extraction von Liu, Bin, Chiticariu, Laura, Chu, Vivian, Jagadish, H. V., Reiss, Frederick R.

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A Relational Framework for Information Extraction von Fagin, Ronald, Kimelfeld, Benny, Reiss, Frederick, Vansummeren, Stijn

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SystemT: a system for declarative information extraction von Krishnamurthy, Rajasekar, Li, Yunyao, Raghavan, Sriram, Reiss, Frederick, Vaithyanathan, Shivakumar, Zhu, Huaiyu

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Scaling Machine Learning via Compressed Linear Algebra von Elgohary, Ahmed, Boehm, Matthias, Haas, Peter J., Reiss, Frederick R., Reinwald, Berthold

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Data Triage: an adaptive architecture for load shedding in TelegraphCQ von Reiss, F., Hellerstein, J.M.

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Declarative Network Monitoring with an Underprovisioned Query Processor von Reiss, F., Hellerstein, J.M.

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Selectivity estimation for extraction operators over text data von Wang, D Z, Long Wei, Yunyao Li, Reiss, F, Vaithyanathan, S

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CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks von Puri, Ruchir, Kung, David S, Janssen, Geert, Zhang, Wei, Domeniconi, Giacomo, Zolotov, Vladimir, Dolby, Julian, Chen, Jie, Choudhury, Mihir, Decker, Lindsey, Thost, Veronika, Buratti, Luca, Pujar, Saurabh, Ramji, Shyam, Finkler, Ulrich, Malaika, Susan, Reiss, Frederick

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DISTRIBUTED NOTEBOOK KERNELS IN A CONTAINERIZED COMPUTING ENVIRONMENT von Reiss, Frederick R, Resende, Luciano, Bates, Kevin B

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Maximizing the information content of system logs von Reiss Frederick R, Sen Prithviraj, Ghanbari Saeed

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Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment von Bozarth, Alex, Dwyer, Brendan, Hu, Fei, Jalova, Daniel, Muthuraman, Karthik, Pentreath, Nick, Plovyt, Simon, de Queiroz, Gabriela, Swaminathan, Saishruthi, Titzler, Patrick, Wu, Xin, Xu, Hong, Reiss, Frederick R, Bommireddipalli, Vijay

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