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181
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PLDI
1993
ACM
15 years 4 months ago
Global Optimizations for Parallelism and Locality on Scalable Parallel Machines
Data locality is critical to achievinghigh performance on large-scale parallel machines. Non-local data accesses result in communication that can greatly impact performance. Thus ...
Jennifer-Ann M. Anderson, Monica S. Lam
244
Voted
ISBRA
2011
Springer
14 years 4 months ago
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
Yan Fu, Rong Pan, Qiang Yang, Wen Gao
104
Voted
ICML
2009
IEEE
16 years 1 months ago
Factored conditional restricted Boltzmann Machines for modeling motion style
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
Graham W. Taylor, Geoffrey E. Hinton
109
Voted
ALT
2000
Springer
15 years 9 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
FMCO
2005
Springer
156views Formal Methods» more  FMCO 2005»
15 years 6 months ago
On a Probabilistic Chemical Abstract Machine and the Expressiveness of Linda Languages
babilistic Chemical Abstract Machine and the Expressiveness of Linda Languages Alessandra Di Pierro1 , Chris Hankin2 , and Herbert Wiklicky2 1 Dipartimento di Informatica, Universi...
Alessandra Di Pierro, Chris Hankin, Herbert Wiklic...