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» An experimental analysis of self-adjusting computation
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TNN
2010
143views Management» more  TNN 2010»
13 years 4 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
RECOMB
2003
Springer
14 years 10 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
ICDCS
2006
IEEE
14 years 3 months ago
Distributed Computing for Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks of Workstations
Hyperspectral imaging is a new technique which has become increasingly important in many remote sensing applications, including automatic target recognition for military and defen...
Antonio Plaza, Javier Plaza, David Valencia
IPPS
1999
IEEE
14 years 1 months ago
SCALA: A Framework for Performance Evaluation of Scalable Computing
Abstract. Conventional performance environments are based on pro ling and event instrumentation. It becomes problematic as parallel systems scale to hundreds of nodes and beyond. A...
Xian-He Sun, Mario Pantano, Thomas Fahringer, Zhao...
CC
2012
Springer
227views System Software» more  CC 2012»
12 years 5 months ago
Programming Paradigm Driven Heap Analysis
The computational cost and precision of a shape style heap analysis is highly dependent on the way method calls are handled. This paper introduces a new approach to analyzing metho...
Mark Marron, Ondrej Lhoták, Anindya Banerje...