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NIPS
2007
15 years 5 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
ASWC
2009
Springer
15 years 5 months ago
Merging and Ranking Answers in the Semantic Web: The Wisdom of Crowds
In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our pr...
Vanessa Lopez, Andriy Nikolov, Miriam Ferná...
PDPTA
2010
15 years 1 months ago
Collecting Sensor Data for High-Performance Computing: A Case-study
- Many research questions remain open with regard to improving reliability in exascale systems. Among others, statistics-based analysis has been used to find anomalies, to isolate ...
Line C. Pouchard, Jonathan D. Dobson, Stephen W. P...
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 9 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
ICAC
2006
IEEE
15 years 10 months ago
Using Autonomic Principles to Manage Converged Services in Next Generation Networks
Network resources will always be heterogeneous, and thus have different functionalities and programming models. This adversely affects interoperability. Seamless Mobility is one e...
John Strassner