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INFORMATICALT
2011
112views more  INFORMATICALT 2011»
14 years 4 months ago
The Minimum Density Power Divergence Approach in Building Robust Regression Models
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
Alessandra Durio, Ennio Davide Isaia
ISCA
2010
IEEE
336views Hardware» more  ISCA 2010»
15 years 2 months ago
Reducing cache power with low-cost, multi-bit error-correcting codes
Technology advancements have enabled the integration of large on-die embedded DRAM (eDRAM) caches. eDRAM is significantly denser than traditional SRAMs, but must be periodically r...
Chris Wilkerson, Alaa R. Alameldeen, Zeshan Chisht...
BMCBI
2006
109views more  BMCBI 2006»
14 years 10 months ago
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and ...
Alison A. Motsinger, Stephen L. Lee, George Mellic...
CORR
2008
Springer
119views Education» more  CORR 2008»
14 years 10 months ago
On the Relationship between Transmission Power and Capacity of an Underwater Acoustic Communication Channel
The underwater acoustic channel is characterized by a path loss that depends not only on the transmission distance, but also on the signal frequency. As a consequence, transmission...
Daniel Enrique Lucani, Milica Stojanovic, Muriel M...
TVLSI
2010
14 years 4 months ago
A Low-Power DSP for Wireless Communications
This paper proposes a low-power high-throughput digital signal processor (DSP) for baseband processing in wireless terminals. It builds on our earlier architecture--Signal processi...
Hyunseok Lee, Chaitali Chakrabarti, Trevor N. Mudg...