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NIPS
2007
15 years 7 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
GECCO
2008
Springer
107views Optimization» more  GECCO 2008»
15 years 7 months ago
The influence of scaling and assortativity on takeover times in scale-free topologies
In evolving systems, the topological characteristics of population structure have a pronounced impact on the rate of spread of advantageous alleles, and therefore affect selective...
Joshua L. Payne, Margaret J. Eppstein
EKAW
2010
Springer
15 years 4 months ago
Scaling Up Question-Answering to Linked Data
Linked Data semantic sources, in particular DBpedia, can be used to answer many user queries. PowerAqua is an open multi-ontology Question Answering (QA) system for the Semantic We...
Vanessa Lopez, Andriy Nikolov, Marta Sabou, Victor...
HRI
2009
ACM
16 years 1 months ago
How search and its subtasks scale in N robots
The present study investigates the effect of the number of controlled robots on performance of an urban search and rescue (USAR) task using a realistic simulation. Participants co...
Huadong Wang, Michael Lewis, Prasanna Velagapudi, ...
ICRA
2002
IEEE
152views Robotics» more  ICRA 2002»
15 years 11 months ago
Mobile Robot Self-Localization in Large-Scale Environments
— This paper presents a new approach for the absolute self-localization of a mobile robot in structured large-scale environments. The requirements with regard to both, the necess...
Axel Lankenau, Thomas Röfer