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GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
16 years 6 days ago
Tackling an Inverse Problem from the Petroleum Industry with a Genetic Algorithm for Sampling
Abstract. When direct measurement of model parameters is not possible, these need to be inferred indirectly from calibration data. To solve this inverse problem, an algorithm that ...
Pedro J. Ballester, Jonathan N. Carter
195
Voted
CAV
2010
Springer
201views Hardware» more  CAV 2010»
15 years 10 months ago
Contessa: Concurrency Testing Augmented with Symbolic Analysis
Testing of multi-threaded programs poses enormous challenges. To improve the coverage of testing, we present a framework named CONTESSA that augments conventional testing (concrete...
Sudipta Kundu, Malay K. Ganai, Chao Wang
KDD
2005
ACM
146views Data Mining» more  KDD 2005»
16 years 7 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
JSS
2007
118views more  JSS 2007»
15 years 6 months ago
A new imputation method for small software project data sets
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
Qinbao Song, Martin J. Shepperd
ICASSP
2010
IEEE
15 years 7 months ago
A kernel mean matching approach for environment mismatch compensation in speech recognition
The mismatch between training and test environmental conditions presents a challenge to speech recognition systems. In this paper, we investigate an approach for matching the dist...
Abhishek Kumar, John H. L. Hansen