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» Modeling Preferences in a Distributed Recommender System
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ACL
2006
13 years 10 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
CIKM
1994
Springer
14 years 17 days ago
Analytical Version Control Management in a Hypertext System
may be saved for later reuse of material, but also to preserve the historical perspective of work done [ha:92]. In particular, in distributed and collaborative hypertext systems, v...
Antonina Dattolo, Antonio Gisolfi
ICMLA
2009
13 years 6 months ago
Exact Graph Structure Estimation with Degree Priors
We describe a generative model for graph edges under specific degree distributions which admits an exact and efficient inference method for recovering the most likely structure. T...
Bert Huang, Tony Jebara
AIIDE
2009
13 years 9 months ago
Demonstrating Automatic Content Generation in the Galactic Arms Race Video Game
In most modern video games, content (e.g. models, levels, weapons, etc.) shipped with the game is static and unchanging, or at best, randomized within a narrow set of parameters. ...
Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanle...
CCS
2010
ACM
13 years 7 months ago
Protecting location privacy against inference attacks
GPS-enabled mobile devices are a quickly growing market and users are starting to share their location information with each other through services such as Google Latitude. Locati...
Kazuhiro Minami, Nikita Borisov