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» An fMRI Activation Method Using Complex Data
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114
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FM
2003
Springer
136views Formal Methods» more  FM 2003»
15 years 8 months ago
Improving Safety Assessment of Complex Systems: An Industrial Case Study
The complexity of embedded controllers is steadily increasing. This trend, stimulated by the continuous improvement of the computational power of hardware, demands for a correspond...
Marco Bozzano, Antonella Cavallo, Massimo Cifaldi,...
143
Voted
BMCBI
2006
122views more  BMCBI 2006»
15 years 2 months ago
Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle
Background: A transcriptional regulatory module (TRM) is a set of genes that is regulated by a common set of transcription factors (TFs). By organizing the genome into TRMs, a liv...
Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
147
Voted
COLING
2010
14 years 9 months ago
Active Deep Networks for Semi-Supervised Sentiment Classification
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
Shusen Zhou, Qingcai Chen, Xiaolong Wang
180
Voted
CVPR
2009
IEEE
16 years 9 months ago
Active Learning for Large Multi-class Problems
Scarcity and infeasibility of human supervision for large scale multi-class classification problems necessitates active learning. Unfortunately, existing active learning methods ...
Prateek Jain (University of Texas at Austin), Ashi...
CEC
2010
IEEE
15 years 23 days ago
Active Learning Genetic programming for record deduplication
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...