Multiple discovery

Results: 109



#Item
1Bringing the Real World into the Classroom Recent findings from Discovery Education link Streaming usage to increased student engagement and achievement. Findings from multiple studies, combined, tell a

Bringing the Real World into the Classroom Recent findings from Discovery Education link Streaming usage to increased student engagement and achievement. Findings from multiple studies, combined, tell a

Add to Reading List

Source URL: www.discoveryeducation.com

Language: English - Date: 2017-10-19 14:20:28
    2Bringing the Real World into the Classroom Recent findings from Discovery Education link Streaming usage to increased student engagement and achievement. Findings from multiple studies, combined, tell a

    Bringing the Real World into the Classroom Recent findings from Discovery Education link Streaming usage to increased student engagement and achievement. Findings from multiple studies, combined, tell a

    Add to Reading List

    Source URL: www.discoveryeducation.com

    Language: English - Date: 2018-05-24 13:23:21
      3Graph/Network Data Visual Knowledge Discovery Volume Rendering Biomedical and Medical Visualization Coordinated and Multiple Views Time­varying Data

      Graph/Network Data Visual Knowledge Discovery Volume Rendering Biomedical and Medical Visualization Coordinated and Multiple Views Time­varying Data

      Add to Reading List

      Source URL: eprints.cs.univie.ac.at

      - Date: 2016-12-07 10:26:38
        4Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning Jun-Yan Zhu1,2 , Jiajun Wu3,1 , Yichen Wei1 , Eric Chang1 and Zhuowen Tu1,4 1 Microsoft Research Asia 2

        Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning Jun-Yan Zhu1,2 , Jiajun Wu3,1 , Yichen Wei1 , Eric Chang1 and Zhuowen Tu1,4 1 Microsoft Research Asia 2

        Add to Reading List

        Source URL: pages.ucsd.edu

        - Date: 2012-08-06 22:58:40
          5Int J Comput Vis:115–132 DOIs11263z Iterative Category Discovery via Multiple Kernel Metric Learning Carolina Galleguillos · Brian McFee · Gert R. G. Lanckriet

          Int J Comput Vis:115–132 DOIs11263z Iterative Category Discovery via Multiple Kernel Metric Learning Carolina Galleguillos · Brian McFee · Gert R. G. Lanckriet

          Add to Reading List

          Source URL: eceweb.ucsd.edu

          - Date: 2015-07-31 19:00:25
            6Phase 3. Functional Variant Discovery  Introduction There is no single ‘recipe’ for identifying functional variants. Every filtering strategy inevitably starts with multiple often-logical assumptions about the

            Phase 3. Functional Variant Discovery Introduction There is no single ‘recipe’ for identifying functional variants. Every filtering strategy inevitably starts with multiple often-logical assumptions about the

            Add to Reading List

            Source URL: h3abionet.org

            Language: English - Date: 2016-03-08 11:43:56
            7Microsoft PowerPoint - 第6-2章-Class Comparision.pptx

            Microsoft PowerPoint - 第6-2章-Class Comparision.pptx

            Add to Reading List

            Source URL: bioinfo.ict.ac.cn

            Language: English - Date: 2014-11-28 11:09:46
            8Phase 3. Functional Variant Discovery  Introduction There is no single ‘recipe’ for identifying functional variants. Every filtering strategy inevitably starts with multiple often-logical assumptions about the

            Phase 3. Functional Variant Discovery Introduction There is no single ‘recipe’ for identifying functional variants. Every filtering strategy inevitably starts with multiple often-logical assumptions about the

            Add to Reading List

            Source URL: www.h3abionet.org

            Language: English - Date: 2016-03-08 11:43:56
            9False discovery rate control is not always a replacement for Bonferroni adjustment (Letter commenting on: J Clin Epidemiol. 2014;67:850-7)

            False discovery rate control is not always a replacement for Bonferroni adjustment (Letter commenting on: J Clin Epidemiol. 2014;67:850-7)

            Add to Reading List

            Source URL: www.glicko.net

            Language: English - Date: 2015-12-17 13:00:43
            10Consensus Multiple-Potency QSAR Modeling for Prediction of Rodent Carcinogenicity EJ Matthews1 and KP Cross2 1FDA Center for Food Safety and Applied Nutrition (CFSAN), 5100 Paint Branch Parkway, College Park, MDan

            Consensus Multiple-Potency QSAR Modeling for Prediction of Rodent Carcinogenicity EJ Matthews1 and KP Cross2 1FDA Center for Food Safety and Applied Nutrition (CFSAN), 5100 Paint Branch Parkway, College Park, MDan

            Add to Reading List

            Source URL: www.leadscope.com

            Language: English - Date: 2015-11-13 06:28:16