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158
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NIPS
2003
15 years 5 months ago
Unsupervised Context Sensitive Language Acquisition from a Large Corpus
We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...
123
Voted
ML
2006
ACM
122views Machine Learning» more  ML 2006»
15 years 3 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
122
Voted
HPCC
2007
Springer
15 years 9 months ago
Optimizing Array Accesses in High Productivity Languages
One of the outcomes of DARPA’s HPCS program has been the creation of three new high productivity languages: Chapel, Fortress, and X10. While these languages have introduced impro...
Mackale Joyner, Zoran Budimlic, Vivek Sarkar
124
Voted
ICS
2001
Tsinghua U.
15 years 8 months ago
Optimizing strategies for telescoping languages: procedure strength reduction and procedure vectorization
At Rice University, we have undertaken a project to construct a framework for generating high-level problem solving languages that can achieve high performance on a variety of pla...
Arun Chauhan, Ken Kennedy
PLDI
1997
ACM
15 years 7 months ago
Incremental Analysis of real Programming Languages
A major research goal for compilers and environments is the automatic derivation of tools from formal specifications. However, the formal model of the language is often inadequat...
Tim A. Wagner, Susan L. Graham