Deep web

Results: 287



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1Deep in the web, up in the hills: the discovery of Drosera magnifica, the “Facebook sundew” Paulo Minatel Gonella • Lab. Sistemática Vegetal • Instituto de Biociências • Universidade de São Paulo • Brazil

Deep in the web, up in the hills: the discovery of Drosera magnifica, the “Facebook sundew” Paulo Minatel Gonella • Lab. Sistemática Vegetal • Instituto de Biociências • Universidade de São Paulo • Brazil

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Source URL: legacy.carnivorousplants.org

Language: English - Date: 2017-05-29 20:23:09
    2Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games Xiaoxiao Guo, Satinder Singh, Richard Lewis, Honglak Lee University of Michigan, Ann Arbor {guoxiao,baveja,rickl,honglak}@umich.edu

    Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games Xiaoxiao Guo, Satinder Singh, Richard Lewis, Honglak Lee University of Michigan, Ann Arbor {guoxiao,baveja,rickl,honglak}@umich.edu

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    Source URL: web.eecs.umich.edu

    Language: English - Date: 2016-04-22 16:33:09
    3Instacart sees a click-to-purchase rate of 6% from their Sendgrid marketing emails by using Branch’s Deep Linked Email to route to app instead of the mobile web, where their click-to-purchase rate is less than 1%.  PRO

    Instacart sees a click-to-purchase rate of 6% from their Sendgrid marketing emails by using Branch’s Deep Linked Email to route to app instead of the mobile web, where their click-to-purchase rate is less than 1%. PRO

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    Source URL: www2.branch.io

    Language: English - Date: 2018-07-01 16:17:29
      4Truth Finding on the Deep Web: Is the Problem Solved? Xian Li Xin Luna Dong  Kenneth Lyons

      Truth Finding on the Deep Web: Is the Problem Solved? Xian Li Xin Luna Dong Kenneth Lyons

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      Source URL: www.vldb.org

      Language: English - Date: 2013-02-19 07:59:54
        5DEEP Review from BrightPlanet® Get started with Data-as-a-Service (DaaS) with a DEEP Review  We’ll Help You Make Sense of Web Data

        DEEP Review from BrightPlanet® Get started with Data-as-a-Service (DaaS) with a DEEP Review We’ll Help You Make Sense of Web Data

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        Source URL: brightplanet.com

        Language: English - Date: 2016-05-13 09:47:18
          6Deactivation of Unwelcomed Deep Web Extraction Services through Random Injection Varun Bhagwan, Tyrone Grandison IBM Almaden Research Center, 650 Harry Road, San Jose, CaliforniaUSA {vbhagwan, tyroneg}@us.ibm.com

          Deactivation of Unwelcomed Deep Web Extraction Services through Random Injection Varun Bhagwan, Tyrone Grandison IBM Almaden Research Center, 650 Harry Road, San Jose, CaliforniaUSA {vbhagwan, tyroneg}@us.ibm.com

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          Source URL: www.almaden.ibm.com

          Language: English - Date: 2009-04-24 05:07:40
            7Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web James Caverlee, Ling Liu, and David Buttler College of Computing, Georgia Institute of Technology {caverlee, lingliu, buttler}@cc.gatech.e

            Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web James Caverlee, Ling Liu, and David Buttler College of Computing, Georgia Institute of Technology {caverlee, lingliu, buttler}@cc.gatech.e

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            Source URL: faculty.cse.tamu.edu

            - Date: 2007-09-05 14:21:30
              8World Wide Web: 585–622 DOIs11280Discovering Interesting Relationships among Deep Web Databases: A Source-Biased Approach James Caverlee & Ling Liu & Daniel Rocco

              World Wide Web: 585–622 DOIs11280Discovering Interesting Relationships among Deep Web Databases: A Source-Biased Approach James Caverlee & Ling Liu & Daniel Rocco

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              Source URL: faculty.cse.tamu.edu

              - Date: 2007-09-05 14:21:30
                9Deep Web Research and Discovery Resources 2017

                Deep Web Research and Discovery Resources 2017

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                Source URL: whitepapers.virtualprivatelibrary.net

                - Date: 2016-12-13 13:46:08
                  10DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition Itamar Arel and Derek Rose and Robert Coop Department of Electrical Engineering and Computer Science Machine I

                  DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition Itamar Arel and Derek Rose and Robert Coop Department of Electrical Engineering and Computer Science Machine I

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                  Source URL: web.eecs.utk.edu

                  - Date: 2009-09-11 16:56:51