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» Automatic Prediction of Parser Accuracy
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ESWA
2007
146views more  ESWA 2007»
15 years 3 months ago
A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
Chih-Hung Wu, Gwo-Hshiung Tzeng, Yeong-Jia Goo, We...
ACL
2006
15 years 5 months ago
Multi-Tagging for Lexicalized-Grammar Parsing
With performance above 97% accuracy for newspaper text, part of speech (POS) tagging might be considered a solved problem. Previous studies have shown that allowing the parser to ...
James R. Curran, Stephen Clark, David Vadas
151
Voted
NDSS
2008
IEEE
15 years 10 months ago
Automatic Network Protocol Analysis
Protocol reverse engineering is the process of extracting application-level specifications for network protocols. Such specifications are very helpful in a number of security-re...
Gilbert Wondracek, Paolo Milani Comparetti, Christ...
COOPIS
2004
IEEE
15 years 7 months ago
Automatic Initiation of an Ontology
We report on an a set of experiments carried out in the context of the Flemish OntoBasis project. Our purpose is to extract semantic relations from text corpora in an unsupervised ...
Marie-Laure Reinberger, Peter Spyns, A. Johannes P...
144
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JMLR
2012
13 years 6 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell