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» A General Framework for Large Scale Systems Development
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NIPS
2007
13 years 10 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
TKDE
2012
270views Formal Methods» more  TKDE 2012»
11 years 11 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
WWW
2009
ACM
14 years 9 months ago
Large scale integration of senses for the semantic web
Nowadays, the increasing amount of semantic data available on the Web leads to a new stage in the potential of Semantic Web applications. However, it also introduces new issues du...
Jorge Gracia, Mathieu d'Aquin, Eduardo Mena
ICRA
2005
IEEE
121views Robotics» more  ICRA 2005»
14 years 2 months ago
Distributed Sampling-Based Roadmap of Trees for Large-Scale Motion Planning
Abstract— High-dimensional problems arising from complex robotic systems test the limits of current motion planners and require the development of efficient distributed motion p...
Erion Plaku, Lydia E. Kavraki
ICPPW
1999
IEEE
14 years 1 months ago
Multistage Ring Network: A New Multiple Ring Network for Large Scale Multiprocessors
We present a new multiple ring network for multiprocessors, called the Multistage Ring Network(MRN). The MRN has a 2-level hierarchy of register insertion rings, and its interconn...
Dongho Yoo, Inbum Jung, Seung Ryoul Maeng, Hyungla...