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DAC
2006
ACM
14 years 1 months ago
Refined statistical static timing analysis through
Statistical static timing analysis (SSTA) has been a popular research topic in recent years. A fundamental issue with applying SSTA in practice today is the lack of reliable and e...
Benjamin N. Lee, Li-C. Wang, Magdy S. Abadir
IJON
2006
95views more  IJON 2006»
13 years 9 months ago
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis
A correlation-based similarity measure is derived for generalized relevance learning vector quantization (GRLVQ). The resulting GRLVQ-C classifier makes Pearson correlation availa...
Marc Strickert, Udo Seiffert, Nese Sreenivasulu, W...
TNN
2010
205views Management» more  TNN 2010»
13 years 4 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
ICWL
2004
Springer
14 years 3 months ago
An Agent- and Service-Oriented e-Learning Platform
This paper presents an e-Learning Web-reachable hypermedia system as the foundation of a course content development toolset. Course content, developed in XML, is stored in native X...
Ivan Madjarov, Omar Boucelma, Abdelkader Bé...
AI
2010
Springer
14 years 2 months ago
Supervised Machine Learning for Summarizing Legal Documents
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
Mehdi Yousfi Monod, Atefeh Farzindar, Guy Lapalme