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NIPS
2004
13 years 10 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
PPOPP
2009
ACM
14 years 9 months ago
How much parallelism is there in irregular applications?
Irregular programs are programs organized around pointer-based data structures such as trees and graphs. Recent investigations by the Galois project have shown that many irregular...
Milind Kulkarni, Martin Burtscher, Rajeshkar Inkul...
CIDM
2007
IEEE
14 years 3 months ago
Data Mining of MISR Aerosol Product using Spatial Statistics
— In climate models, aerosol forcing is the major source of uncertainty in climate forcing, over the industrial period. To reduce this uncertainty, instruments on satellites have...
Tao Shi, Noel Cressie
ICPP
1995
IEEE
14 years 12 days ago
Impact of Load Imbalance on the Design of Software Barriers
Software barriers have been designed and evaluated for barrier synchronization in large-scale shared-memory multiprocessors, under the assumption that all processorsreach the sync...
Alexandre E. Eichenberger, Santosh G. Abraham
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 9 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher