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ASPLOS
2006
ACM
14 years 1 months ago
Automatic generation of peephole superoptimizers
Peephole optimizers are typically constructed using human-written pattern matching rules, an approach that requires expertise and time, as well as being less than systematic at ex...
Sorav Bansal, Alex Aiken
EACL
2003
ACL Anthology
13 years 8 months ago
Learning to Identify Fragmented Words in Spoken Discourse
Disfluent speech adds to the difficulty of processing spoken language utterances. In this paper we concentrate on identifying one disfluency phenomenon: fragmented words. Our d...
Piroska Lendvai
ICANN
2009
Springer
14 years 1 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
COLT
2010
Springer
13 years 5 months ago
Inferring Descriptive Generalisations of Formal Languages
In the present paper, we introduce a variant of Gold-style learners that is not required to infer precise descriptions of the languages in a class, but that must find descriptive ...
Dominik D. Freydenberger, Daniel Reidenbach

Book
695views
15 years 3 months ago
The Scheme Programming Language
"Scheme is a general-purpose computer programming language. It is a high-level language, supporting operations on structured data such as strings, lists, and vectors, as well ...
R. Kent Dybvig