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» A Machine Learning Approach for Statistical Software Testing
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ICDAR
2009
IEEE
15 years 1 days ago
Learning on the Fly: Font-Free Approaches to Difficult OCR Problems
Despite ubiquitous claims that optical character recognition (OCR) is a "solved problem," many categories of documents continue to break modern OCR software such as docu...
Andrew Kae, Erik G. Learned-Miller
ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 10 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
IUI
2010
ACM
15 years 9 months ago
Lowering the barriers to website testing with CoTester
In this paper, we present CoTester, a system designed to decrease the difficulty of testing web applications. CoTester allows testers to create test scripts that are represented ...
Jalal Mahmud, Tessa Lau
125
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ICAC
2007
IEEE
15 years 8 months ago
Autonomous Return on Investment Analysis of Additional Processing Resources
As the use of virtualization and partitioning grows, it becomes possible to deploy a multi-tier web-based application with a variable amount of computing power. This introduces th...
Jonathan Wildstrom, Peter Stone, Emmett Witchel
ICML
2004
IEEE
16 years 3 months ago
A MFoM learning approach to robust multiclass multi-label text categorization
We propose a multiclass (MC) classification approach to text categorization (TC). To fully take advantage of both positive and negative training examples, a maximal figure-of-meri...
Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua