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» On the Expressive Power of Deep Architectures
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IEAAIE
2010
Springer
14 years 7 months ago
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles
Abstract. Gene expression profiling strategies have attracted considerable interest from biologist due to the potential for high throughput analysis of hundreds of thousands of gen...
Daniel Urda, José Luis Subirats, Leonardo F...
BMCBI
2008
145views more  BMCBI 2008»
14 years 9 months ago
Mapping gene expression quantitative trait loci by singular value decomposition and independent component analysis
Background: The combination of gene expression profiling with linkage analysis has become a powerful paradigm for mapping gene expression quantitative trait loci (eQTL). To date, ...
Shameek Biswas, John D. Storey, Joshua M. Akey
DATE
2010
IEEE
161views Hardware» more  DATE 2010»
15 years 2 months ago
Aging-resilient design of pipelined architectures using novel detection and correction circuits
—Time-dependent performance degradation due to transistor aging caused by mechanisms such as Negative Bias Temperature Instability (NBTI) and Hot Carrier Injection (HCI) is one o...
Hamed F. Dadgour, Kaustav Banerjee
IPPS
2007
IEEE
15 years 3 months ago
Improving Scalability of OpenMP Applications on Multi-core Systems Using Large Page Support
Modern multi-core architectures have become popular because of the limitations of deep pipelines and heating and power concerns. Some of these multi-core architectures such as the...
Ranjit Noronha, Dhabaleswar K. Panda
ISCAPDCS
2007
14 years 11 months ago
Architectural requirements of parallel computational biology applications with explicit instruction level parallelism
—The tremendous growth in the information culture, efficient digital searches are needed to extract and identify information from huge data. The notion that evolution in silicon ...
Naeem Zafar Azeemi