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» A Machine Learning Approach for Statistical Software Testing
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NSDI
2008
15 years 3 days ago
DieCast: Testing Distributed Systems with an Accurate Scale Model
Large-scale network services can consist of tens of thousands of machines running thousands of unique software configurations spread across hundreds of physical networks. Testing ...
Diwaker Gupta, Kashi Venkatesh Vishwanath, Amin Va...
BMCBI
2005
118views more  BMCBI 2005»
14 years 9 months ago
Feature selection and nearest centroid classification for protein mass spectrometry
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
Ilya Levner
EMNLP
2009
14 years 7 months ago
Discriminative Corpus Weight Estimation for Machine Translation
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
ICML
2009
IEEE
15 years 4 months ago
A novel lexicalized HMM-based learning framework for web opinion mining
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. As e-commerce is becoming more an...
Wei Jin, Hung Hay Ho
ASWEC
2009
IEEE
14 years 7 months ago
From Requirements to Embedded Software - Formalising the Key Steps
Failure of a design to satisfy a system's requirements can result in schedule and cost overruns. When using current approaches, ensuring requirements are satisfied is often d...
Toby Myers, R. Geoff Dromey