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POPL
2012
ACM
12 years 3 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
TPHOL
2000
IEEE
13 years 12 months ago
Proving ML Type Soundness Within Coq
We verify within the Coq proof assistant that ML typing is sound with respect to the dynamic semantics. We prove this property in the framework of a big step semantics and also in ...
Catherine Dubois
IJCNN
2008
IEEE
14 years 2 months ago
Robust adaptive control via neural linearization and four types of compensation
— In this paper, we propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifierFbased feedback linea...
Wen Yu, Xiaoou Li
ENTCS
2008
83views more  ENTCS 2008»
13 years 7 months ago
Dynamic Translucency with Abstraction Kinds and Higher-Order Coercions
traction Kinds and Higher-Order Coercions Andreas Rossberg1 Max Planck Institute for Software Systems Saarbr
Andreas Rossberg
FOSSACS
2001
Springer
14 years 3 days ago
High-Level Petri Nets as Type Theories in the Join Calculus
Abstract. We study the expressiveness of the join calculus by comparison with (generalised, coloured) Petri nets and using tools from type theory. More precisely, we consider four ...
Maria Grazia Buscemi, Vladimiro Sassone