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ACMSE
2006
ACM
16 years 8 days ago
Type inference and informative error reporting for secure information flow
If we classify the variables of a program into various security levels, then a secure information flow analysis aims to verify statically that information in the program can flo...
Zhenyue Deng, Geoffrey Smith
VL
2010
IEEE
247views Visual Languages» more  VL 2010»
15 years 4 months ago
Cleanroom: Edit-Time Error Detection with the Uniqueness Heuristic
Many dynamic programming language features, such as implicit declaration, reflection, and code generation, make it difficult to verify the existence of identifiers through standar...
Andrew J. Ko, Jacob O. Wobbrock
ESANN
2006
15 years 7 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
EACL
2003
ACL Anthology
15 years 7 months ago
Detecting Errors in Part-of-Speech Annotation
We propose a new method for detecting errors in “gold-standard” part-ofspeech annotation. The approach locates errors with high precision based on n-grams occurring in the cor...
Markus Dickinson, Detmar Meurers
NIPS
2001
15 years 7 months ago
(Not) Bounding the True Error
We present a new approach to bounding the true error rate of a continuous valued classifier based upon PAC-Bayes bounds. The method first constructs a distribution over classifier...
John Langford, Rich Caruana