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EMNLP
2011
13 years 11 months ago
Structured Sparsity in Structured Prediction
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
André F. T. Martins, Noah A. Smith, M&aacut...
JMLR
2012
13 years 2 months ago
Generic Methods for Optimization-Based Modeling
“Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
Justin Domke
VSTTE
2005
Springer
15 years 5 months ago
Verifying Design with Proof Scores
: Verifying design instead of code can be an effective and practical approach to obtaining verified software. This paper argues that proof scores are an attractive method for ver...
Kokichi Futatsugi, Joseph A. Goguen, Kazuhiro Ogat...

Book
301views
16 years 10 months ago
Programming in Standard ML
"Standard ML is a type-safe programming language that embodies many innovative ideas in programming language design. It is a statically typed language, with an extensible type...
Robert Harper
POPL
2007
ACM
16 years 4 days ago
Proving that programs eventually do something good
In recent years we have seen great progress made in the area of automatic source-level static analysis tools. However, most of today's program verification tools are limited ...
Byron Cook, Alexey Gotsman, Andreas Podelski, Andr...