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ILP
2007
Springer
14 years 2 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
PLDI
2003
ACM
14 years 2 months ago
Checking and inferring local non-aliasing
In prior work [15] we studied a language construct restrict that allows programmers to specify that certain pointers are not aliased to other pointers used within a lexical scope....
Alexander Aiken, Jeffrey S. Foster, John Kodumal, ...
JFP
2000
163views more  JFP 2000»
13 years 8 months ago
Automatic useless-code elimination for HOT functional programs
In this paper we present two type inference systems for detecting useless-code in higher-order typed functional programs. Type inference can be performed in an efficient and compl...
Ferruccio Damiani, Paola Giannini
TLDI
2010
ACM
218views Formal Methods» more  TLDI 2010»
14 years 5 months ago
Pointwise generalized algebraic data types
In the GADT (Generalized Algebraic Data Types) type system, a pattern-matching branch can draw type information from both the scrutinee type and the data constructor type. Even th...
Chuan-kai Lin, Tim Sheard
ESOP
2004
Springer
14 years 14 days ago
ML-Like Inference for Classifiers
Environment classifiers were proposed as a new approach to typing multi-stage languages. Safety was established in the simply-typed and let-polymorphic settings. While the motivati...
Cristiano Calcagno, Eugenio Moggi, Walid Taha