Feature

Results: 15440



#Item
471

Unearthed Arcana: Fighter Martial Archetypes At 3rd level, a fighters gains the Martial Archetype feature. Here are new options for that feature: Arcane Archer, Knight, Samurai, and Sharpshooter.

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Source URL: media.wizards.com

- Date: 2016-12-02 16:15:56
    472

    2017 Nominees BEST FEATURE (Award given to the producer) * Executive Producers are not awarded. AMERICAN HONEY

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    Source URL: s3.amazonaws.com

    - Date: 2016-11-30 03:30:58
      473

      2017 Jetta Exceptional exists for less than you think. From only $18,020.* For the price, you couldn’t ask for a betterequipped and more feature-packed sedan –

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      Source URL: www.vw.ca

      - Date: 2016-12-13 03:38:41
        474

        TECHNOLOGY FEATURE ORGANS FROM THE LAB J. KNOBLICH, M. LANCASTER, AUSTRIAN ACAD. SCI. The body’s organs are more complex than any factory. Attempts to mirror their

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        Source URL: www.nature.com

        - Date: 2015-06-17 12:52:40
          475

          CLASSIFIEDS Category Flat Fee Feature Option

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          Source URL: classifieds.castanet.net

          - Date: 2016-11-29 14:53:44
            476

            Explaining Anomalies in Feature Models

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            Source URL: cloudstorage.tu-braunschweig.de

            - Date: 2016-08-01 04:25:03
              477

              Breathing Ontological Knowledge Into Feature Model Management Guillaume B´ecan, Mathieu Acher, Benoit Baudry, Sana Ben Nasr To cite this version: Guillaume B´ecan, Mathieu Acher, Benoit Baudry, Sana Ben Nasr. Breathing

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              Source URL: hal.inria.fr

              - Date: 2016-11-02 22:30:43
                478

                Clutter Microsoft’s Clutter feature in Office 365 is a “second-tier” Inbox folder containing emails that you usually ignore by analyzing your email habits, and based on your past behavior. Contents Help Clutter lea

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                Source URL: pr.cf.edu

                - Date: 2016-03-30 13:12:46
                  479

                  Caffe: Convolutional Architecture for Fast Feature Embedding∗ Yangqing Jia∗ , Evan Shelhamer∗ , Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell UC Berkeley EECS, Berkel

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                  Source URL: arxiv.org

                  - Date: 2014-08-21 20:13:43
                    480

                    feature Talking to Computers in Natural Language Natural language understanding is as old as computing itself, but recent advances in machine learning and the rising demand

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                    Source URL: cs.stanford.edu

                    - Date: 2015-06-26 00:20:31
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