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» Information flow inference for ML
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POPL
2002
ACM
14 years 5 months ago
Information flow inference for ML
François Pottier, Vincent Simonet
POPL
1996
ACM
13 years 9 months ago
From Region Inference to von Neumann Machines via Region Representation Inference
Region Inference is a technique for implementing programming languages that are based on typed call-by-value lambda calculus, such as Standard ML. The mathematical runtime model o...
Lars Birkedal, Mads Tofte, Magnus Vejlstrup
APLAS
2010
ACM
13 years 4 months ago
Type Inference for Sublinear Space Functional Programming
We consider programming language aspects of algorithms that operate on data too large to fit into memory. In previous work we have introduced IntML, a functional programming langu...
Ugo Dal Lago, Ulrich Schöpp
CORR
2008
Springer
123views Education» more  CORR 2008»
13 years 5 months ago
Inference of Flow Statistics via Packet Sampling in the Internet
We show in this note that by deterministic packet sampling, the tail of the distribution of the original flow size can be obtained by rescaling that of the sampled flow size. To re...
Yousra Chabchoub, Christine Fricker, Fabrice Guill...