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» Self-Explanatory Simulations: Scaling Up to Large Models
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NAR
2011
198views Computer Vision» more  NAR 2011»
14 years 16 days ago
PhylomeDB v3.0: an expanding repository of genome-wide collections of trees, alignments and phylogeny-based orthology and paralo
The growing availability of complete genomic sequences from diverse species has brought about the need to scale up phylogenomic analyses, including the reconstruction of large col...
Jaime Huerta-Cepas, Salvador Capella-Gutiér...
DAC
2006
ACM
15 years 10 months ago
MARS-C: modeling and reduction of soft errors in combinational circuits
Due to the shrinking of feature size and reduction in supply voltages, nanoscale circuits have become more susceptible to radiation induced transient faults. In this paper, we pre...
Natasa Miskov-Zivanov, Diana Marculescu
ICML
2009
IEEE
15 years 10 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
MSWIM
2004
ACM
15 years 3 months ago
Mobile dynamic content distribution networks
Mobile networks are becoming increasingly popular as a means for distributing information to a large number of users. In comparison to wired networks, mobile networks are distingu...
Wagner Moro Aioffi, Geraldo Robson Mateus, Jussara...
IPPS
2008
IEEE
15 years 4 months ago
DC-SIMD : Dynamic communication for SIMD processors
SIMD (single instruction multiple data)-type processors have been found very efficient in image processing applications, because their repetitive structure is able to exploit the...
Raymond Frijns, Hamed Fatemi, Bart Mesman, Henk Co...