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DLS
2009
150views Languages» more  DLS 2009»
13 years 3 months ago
Fast type reconstruction for dynamically typed programming languages
Type inference and type reconstruction derive static types for program elements that have no static type associated with them. They have a wide range of usage, such as helping to ...
Frédéric Pluquet, Antoine Marot, Roe...
AAAI
2008
13 years 7 months ago
A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC
Many real-world problems are characterized by complex relational structure, which can be succinctly represented in firstorder logic. However, many relational inference algorithms ...
Hoifung Poon, Pedro Domingos, Marc Sumner
SIGMOD
2011
ACM
250views Database» more  SIGMOD 2011»
12 years 8 months ago
Hybrid in-database inference for declarative information extraction
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
POPL
2012
ACM
12 years 1 months ago
The ins and outs of gradual type inference
Gradual typing lets programmers evolve their dynamically typed programs by gradually adding explicit type annotations, which confer benefits like improved performance and fewer r...
Aseem Rastogi, Avik Chaudhuri, Basil Hosmer
ICFP
2008
ACM
14 years 5 months ago
From ML to MLF: graphic type constraints with efficient type inference
MLF is a type system that seamlessly merges ML-style type inference with System-F polymorphism. We propose a system of graphic (type) constraints that can be used to perform type ...
Boris Yakobowski, Didier Rémy