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» The Complexity of Distributions
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2009
Tsinghua U.
15 years 4 months ago
Creating artificial global history to improve branch prediction accuracy
Modern processors require highly accurate branch prediction for good performance. As such, a number of branch predictors have been proposed with varying size and complexity. This ...
Leo Porter, Dean M. Tullsen
SIAMMAX
2011
111views more  SIAMMAX 2011»
15 years 1 months ago
Ergodicity Coefficients Defined by Vector Norms
Abstract. Ergodicity coefficients for stochastic matrices determine inclusion regions for subdominant eigenvalues; estimate the sensitivity of the stationary distribution to change...
Ilse C. F. Ipsen, Teresa M. Selee
ML
2012
ACM
413views Machine Learning» more  ML 2012»
14 years 2 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
CCGRID
2006
IEEE
15 years 8 months ago
Biodiversity World: A Problem-Solving Environment for Analysing Biodiversity Patterns
In the Biodiversity World (BDW) project we have created a flexible and extensible Web Services-based Grid environment for biodiversity researchers to solve problems in biodiversity...
Jaspreet Singh Pahwa, Peter Brewer, Tim Sutton, Ch...
PPSN
2000
Springer
15 years 10 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...