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» On the Utility of Inference Mechanisms
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POPL
2010
ACM
14 years 7 months ago
Low-Level Liquid Types
We present Low-Level Liquid Types, a refinement type system for C based on Liquid Types. Low-Level Liquid Types combine refinement types with three key elements to automate verifi...
Ming Kawaguchi, Patrick Maxim Rondon, Ranjit Jhala
WWW
2009
ACM
14 years 4 months ago
Tagommenders: connecting users to items through tags
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
Shilad Sen, Jesse Vig, John Riedl
MLDM
2007
Springer
14 years 3 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
SIGMETRICS
2005
ACM
127views Hardware» more  SIGMETRICS 2005»
14 years 3 months ago
A data streaming algorithm for estimating subpopulation flow size distribution
Statistical information about the flow sizes in the traffic passing through a network link helps a network operator to characterize network resource usage, infer traffic demands,...
Abhishek Kumar, Minho Sung, Jun Xu, Ellen W. Zegur...
POPL
1992
ACM
14 years 1 months ago
A Compilation Method for ML-Style Polymorphic Record Calculi
Polymorphic record calculi have recently attracted much attention as a typed foundation for objectoriented programming. This is based on the fact that a function that selects a fi...
Atsushi Ohori