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BMCBI
2006
142views more  BMCBI 2006»
13 years 7 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
IEEEPACT
2002
IEEE
14 years 18 days ago
Using the Compiler to Improve Cache Replacement Decisions
Memory performance is increasingly determining microprocessor performance and technology trends are exacerbating this problem. Most architectures use set-associative caches with L...
Zhenlin Wang, Kathryn S. McKinley, Arnold L. Rosen...
IEAAIE
2010
Springer
13 years 5 months ago
The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent
This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning m...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...
BMCBI
2008
123views more  BMCBI 2008»
13 years 7 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
RTAS
2008
IEEE
14 years 2 months ago
Using Trace Scratchpads to Reduce Execution Times in Predictable Real-Time Architectures
Instruction scratchpads have been previously suggested as a way to reduce the worst case execution time (WCET) of hard real-time programs without introducing the analysis issues p...
Jack Whitham, Neil C. Audsley