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NEUROSCIENCE
2001
Springer
14 years 23 days ago
Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
Mikel L. Forcada, Rafael C. Carrasco
PDP
2010
IEEE
14 years 20 days ago
hwloc: A Generic Framework for Managing Hardware Affinities in HPC Applications
The increasing numbers of cores, shared caches and memory nodes within machines introduces a complex hardware topology. High-performance computing applications now have to carefull...
François Broquedis, Jérôme Cle...
ALT
1999
Springer
14 years 19 days ago
On the Uniform Learnability of Approximations to Non-Recursive Functions
Abstract. Blum and Blum (1975) showed that a class B of suitable recursive approximations to the halting problem is reliably EX-learnable. These investigations are carried on by sh...
Frank Stephan, Thomas Zeugmann
ISHPC
1999
Springer
14 years 18 days ago
Dynamically Adaptive Parallel Programs
Abstract. Dynamic program optimization is the only recourse for optimizing compilers when machine and program parameters necessary for applying an optimization technique are unknow...
Michael Voss, Rudolf Eigenmann
COLT
1998
Springer
14 years 17 days ago
Improved Boosting Algorithms using Confidence-Rated Predictions
Abstract. We describe several improvements to Freund and Schapire's AdaBoost boosting algorithm, particularly in a setting in which hypotheses may assign confidences to each o...
Robert E. Schapire, Yoram Singer