"Drawing Insights from "Big Data" Machine Learning Literature using Textual ..."

William Agnew et al. (2016)

> Home

Details and statistics

DOI: —

access: closed

type: Informal or Other Publication

metadata version: 2024-12-11

- view
  - electronic edition @ tinytocs.org (archived)
  - lookup Internet Archive Scholar
- export record
  dblp key:
  - journals/tinytocs/AgnewLJGS16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tinytocs/AgnewLJGS16
William Agnew, Hyunjong Lee, Minsung Jang, Ada Gavrilovska, Karsten Schwan:
Drawing Insights from "Big Data" Machine Learning Literature using Textual Features Why are some novels considered to be literature? A. predictive model of literary judgments shows that textual features are important. Andreas van Cranenburgh: Reducing Mobile Throttling from Temperature by Offloading Apps. Adv. Math. Commun. 4 (2016)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.