1![My Vision NoTaking Up the Challenge of the Fourth Industrial Revolution Rapid technological innovation centering on IoT, Big Data and AI, which is being labeled the “Fourth My Vision NoTaking Up the Challenge of the Fourth Industrial Revolution Rapid technological innovation centering on IoT, Big Data and AI, which is being labeled the “Fourth](https://www.pdfsearch.io/img/ab8d93872053f81c0e3565098db8f120.jpg) | Add to Reading ListSource URL: english.nira.or.jpLanguage: English - Date: 2018-05-21 02:16:02
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2![quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t](https://www.pdfsearch.io/img/46537afcb1b3214544be8ed5d658f56e.jpg) | Add to Reading ListSource URL: www.quotemedia.comLanguage: English - Date: 2018-05-22 19:26:02
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3![quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t](https://www.pdfsearch.io/img/ac5896f25ac0d09b19112e65b95f79b7.jpg) | Add to Reading ListSource URL: www.quotemedia.comLanguage: English - Date: 2018-05-22 19:26:02
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4![Learning the Structure of Generative Models without Labeled Data Stephen H. Bach 1 Bryan He 1 Alexander Ratner 1 Christopher R´e 1 Abstract Curating labeled training data has become the Learning the Structure of Generative Models without Labeled Data Stephen H. Bach 1 Bryan He 1 Alexander Ratner 1 Christopher R´e 1 Abstract Curating labeled training data has become the](https://www.pdfsearch.io/img/94c48d58303b96be433a3ac1cfaed3b5.jpg) | Add to Reading ListSource URL: proceedings.mlr.press- Date: 2018-02-06 15:06:57
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5![Learning 3D Part Detection from Sparsely Labeled Data: Supplemental Material Ameesh Makadia Google New York, NY 10011 Learning 3D Part Detection from Sparsely Labeled Data: Supplemental Material Ameesh Makadia Google New York, NY 10011](https://www.pdfsearch.io/img/dd61a27c1be21cab3b9ee95427f42a01.jpg) | Add to Reading ListSource URL: www.meyumer.com- Date: 2016-10-31 05:41:05
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6![Learning the Structure of Generative Models without Labeled Data Stephen H. Bach 1 Bryan He 1 Alexander Ratner 1 Christopher R´e 1 Abstract Curating labeled training data has become the primary bottleneck in machine lea Learning the Structure of Generative Models without Labeled Data Stephen H. Bach 1 Bryan He 1 Alexander Ratner 1 Christopher R´e 1 Abstract Curating labeled training data has become the primary bottleneck in machine lea](https://www.pdfsearch.io/img/d86de4092ad3848cc7b1e01e71f45895.jpg) | Add to Reading ListSource URL: proceedings.mlr.press- Date: 2018-02-06 15:06:57
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7![Distant supervision for relation extraction without labeled data Mike Mintz, Steven Bills, Rion Snow, Dan Jurafsky Stanford University / Stanford, CA 94305 {mikemintz,sbills,rion,jurafsky}@cs.stanford.edu Distant supervision for relation extraction without labeled data Mike Mintz, Steven Bills, Rion Snow, Dan Jurafsky Stanford University / Stanford, CA 94305 {mikemintz,sbills,rion,jurafsky}@cs.stanford.edu](https://www.pdfsearch.io/img/786b9af511449d268ccf81ae48d18184.jpg) | Add to Reading ListSource URL: web.stanford.edu- Date: 2009-05-29 17:41:43
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8![The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit](https://www.pdfsearch.io/img/365764042634de725c35013540d7e1c6.jpg) | Add to Reading ListSource URL: mmds-data.orgLanguage: English - Date: 2016-06-23 15:50:48
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9![Deep Learning in Partially-labeled Data Streams Jesse Read Aalto University and HIIT Helsinki, Finland Fernando Perez-Cruz Deep Learning in Partially-labeled Data Streams Jesse Read Aalto University and HIIT Helsinki, Finland Fernando Perez-Cruz](https://www.pdfsearch.io/img/cfa1b1b12b7d525e1c7bcbe7105f9c88.jpg) | Add to Reading ListSource URL: users.ics.aalto.fiLanguage: English - Date: 2014-12-09 08:08:51
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10![The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit](https://www.pdfsearch.io/img/763fb3069187d55ce7e739f297dd96a1.jpg) | Add to Reading ListSource URL: mmds-data.orgLanguage: English - Date: 2016-06-23 15:50:48
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