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» Recognition Performance of a Structured Language Model
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EMNLP
2006
13 years 9 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning
CSL
2008
Springer
13 years 7 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
ISSRE
2002
IEEE
14 years 20 days ago
Toward A Quantifiable Definition of Software Faults
An important aspect of developing models relating the number and type of faults in a software system to a set of structural measurement is defining what constitutes a fault. By de...
John C. Munson, Allen P. Nikora
IEEEPACT
2006
IEEE
14 years 1 months ago
Compiling for stream processing
This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage. Our compiler uses...
Abhishek Das, William J. Dally, Peter R. Mattson
NIPS
2004
13 years 9 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto