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NIPS
2008
15 years 7 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
SERVICES
2008
103views more  SERVICES 2008»
15 years 7 months ago
Grouping Distributed Stream Query Services by Operator Similarity and Network Locality
Distributed stream query services must simultaneously process a large number of complex, continuous queries with stringent performance requirements while utilizing distributed pro...
Sangeetha Seshadri, Bhuvan Bamba, Brian F. Cooper,...
SIMUTOOLS
2008
15 years 7 months ago
Snoopy: a tool to design and animate/simulate graph-based formalisms
We sketch the fundamental properties and features of Snoopy, a tool to model and execute (animate, simulate) hierarchical graph-based system descriptions. The tool comes along wit...
Monika Heiner, Ronny Richter, Martin Schwarick
SOCRATES
2008
133views Education» more  SOCRATES 2008»
15 years 7 months ago
From Daily Language to Scientific Jargon: The Role of Peer Interaction in Web Forum
The paper presents the activities and the results of the "Child Observation in school context workshop", an on line course realized during the last academic years at Mac...
P. Nicolini, T. Lapucci
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
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