Sciweavers

1157 search results - page 6 / 232
» A Machine Learning Approach for Statistical Software Testing
Sort
View
GPEM
2002
104views more  GPEM 2002»
13 years 6 months ago
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
Krzysztof Krawiec
ICDCS
2007
IEEE
14 years 1 months ago
Testing Security Properties of Protocol Implementations - a Machine Learning Based Approach
Security and reliability of network protocol implementations are essential for communication services. Most of the approaches for verifying security and reliability, such as forma...
Guoqiang Shu, David Lee
ICMLC
2010
Springer
13 years 5 months ago
Approaches to improving corpus quality for statistical machine translation
: The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainl...
Peng Liu, Yu Zhou, Chengqing Zong
ISOLA
2007
Springer
14 years 25 days ago
Using Invariant Detection Mechanism in Black Box Inference
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
Muzammil Shahbaz, Roland Groz
ACL
2010
13 years 4 months ago
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
Michael Bloodgood, Chris Callison-Burch