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GECCO
2007
Springer
136views Optimization» more  GECCO 2007»
16 years 1 months ago
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques
Xavier Llorà, Kumara Sastry, Tian-Li Yu, Da...
NPC
2007
Springer
16 years 1 months ago
A Cost-Aware Parallel Workload Allocation Approach Based on Machine Learning Techniques
Parallelism is one of the main sources for performance improvement in modern computing environment, but the efficient exploitation of the available parallelism depends on a number ...
Shun Long, Grigori Fursin, Björn Franke
CGO
2006
IEEE
16 years 1 months ago
Using Machine Learning to Focus Iterative Optimization
Felix V. Agakov, Edwin V. Bonilla, John Cavazos, B...
CIBCB
2006
IEEE
16 years 1 months ago
Machine Learning in Basecalling Decoding Trace Peak Behaviour
— DNA sequence basecalling is commonly regarded as a solved problem, despite significant error rates being reflected in inaccuracies in databases and genome annotations. These er...
David Thornley, Stavros Petridis
VTS
2006
IEEE
108views Hardware» more  VTS 2006»
16 years 1 months ago
Bridging the Accuracy of Functional and Machine-Learning-Based Mixed-Signal Testing
Abstract— Numerous machine-learning-based test methodologies have been proposed in recent years as a fast alternative to the standard functional testing of mixed-signal/RF integr...
Haralampos-G. D. Stratigopoulos, Yiorgos Makris