Preference

Results: 3825



#Item
51PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback Ashesh Jain, Debarghya Das, Jayesh K. Gupta and Ashutosh Saxena Abstract— We consider the problem of learning user prefer

PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback Ashesh Jain, Debarghya Das, Jayesh K. Gupta and Ashutosh Saxena Abstract— We consider the problem of learning user prefer

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Source URL: pr.cs.cornell.edu

- Date: 2015-08-30 15:04:30
    52Protecting Workers Abroad and Industries at Home: Rights-Based Conditionality in Trade Preference Programs Emilie M. Hafner-Burton School of Global Policy and Strategy and Dept. of Political Science University of Califor

    Protecting Workers Abroad and Industries at Home: Rights-Based Conditionality in Trade Preference Programs Emilie M. Hafner-Burton School of Global Policy and Strategy and Dept. of Political Science University of Califor

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    Source URL: laynamosley.web.unc.edu

    - Date: 2017-12-14 07:30:48
      53Exploiting Geo-Spatial Preference for Personalized Expert Recommendation Haokai Lu James Caverlee

      Exploiting Geo-Spatial Preference for Personalized Expert Recommendation Haokai Lu James Caverlee

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      Source URL: faculty.cse.tamu.edu

      - Date: 2015-09-15 08:20:50
        54TOY PREFERENCE ASSESSMENT GOAL: To learn the dog’s preference for different types of toys, in order to set the dog up for success when working with behavior problems related to possessiveness or training retrieve, tug,

        TOY PREFERENCE ASSESSMENT GOAL: To learn the dog’s preference for different types of toys, in order to set the dog up for success when working with behavior problems related to possessiveness or training retrieve, tug,

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        Source URL: centerforshelterdogs.tufts.edu

        - Date: 2016-07-28 10:04:24
          55A Bayesian Approach for Policy Learning from Trajectory Preference Queries Aaron Wilson ∗ School of EECS Oregon State University

          A Bayesian Approach for Policy Learning from Trajectory Preference Queries Aaron Wilson ∗ School of EECS Oregon State University

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          Source URL: papers.nips.cc

          - Date: 2014-03-25 03:26:59
            56MP-DASH: Adaptive Video Streaming Over Preference-Aware Multipath Feng Qian∗ Lusheng Ji Vijay Gopalakrishnan ∗

            MP-DASH: Adaptive Video Streaming Over Preference-Aware Multipath Feng Qian∗ Lusheng Ji Vijay Gopalakrishnan ∗

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            Source URL: www.research.att.com

            - Date: 2018-03-15 06:22:03
              57GeoNet chooses Urban Airship’s speed, scale to power earthquake notifications GeoNet’s Objectives • Quickly and reliably alert users to earthquakes and volcanic activity • Via a preference center (notification

              GeoNet chooses Urban Airship’s speed, scale to power earthquake notifications GeoNet’s Objectives • Quickly and reliably alert users to earthquakes and volcanic activity • Via a preference center (notification

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              Source URL: grow.urbanairship.com

              - Date: 2018-03-10 10:29:35
                58ISR 2017 Feedback Form Best Poster Award Please fill in at most one Feedback Form per participant before Wednesday July 5 at 11.00, with constructive and positive feedback on all posters, and an ordered preference of at

                ISR 2017 Feedback Form Best Poster Award Please fill in at most one Feedback Form per participant before Wednesday July 5 at 11.00, with constructive and positive feedback on all posters, and an ordered preference of at

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                Source URL: www.win.tue.nl

                - Date: 2017-09-03 08:07:26
                  591 PEW RESEARCH CENTER GOP Leads among Men, Whites; Lower-Income Voters Favor the Democrats Vote preference for Congress (based on likely voters)... Nov. 1-4, 2006

                  1 PEW RESEARCH CENTER GOP Leads among Men, Whites; Lower-Income Voters Favor the Democrats Vote preference for Congress (based on likely voters)... Nov. 1-4, 2006

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                  Source URL: assets.pewresearch.org

                  - Date: 2016-09-29 15:23:00
                    60Preference Falsification, Revolutionary Coordination, and The Tahrir Square Model  61 Preference Falsification, Revolutionary Coordination, and The Tahrir Square Model David Siddhartha Patel†

                    Preference Falsification, Revolutionary Coordination, and The Tahrir Square Model  61 Preference Falsification, Revolutionary Coordination, and The Tahrir Square Model David Siddhartha Patel†

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                    Source URL: www.beloit.edu