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NIPS
1998
14 years 11 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ICSE
2008
IEEE-ACM
15 years 9 months ago
VieDAME - flexible and robust BPEL processes through monitoring and adaptation
VieDAME is a tool for monitoring and dynamic service adaptation of BPEL processes. The tool monitors partner service interaction to compute Quality of Service (QoS) data and perfo...
Oliver Moser, Florian Rosenberg, Schahram Dustdar
TVCG
2010
147views more  TVCG 2010»
14 years 8 months ago
"behaviorism": a framework for dynamic data visualization
— While a number of information visualization software frameworks exist, creating new visualizations, especially those that involve novel visualization metaphors, interaction tec...
Angus Forbes, Tobias Höllerer, George Legrady
ICCCN
2007
IEEE
15 years 4 months ago
Grid Computing on Massively Multi-User Online Platform
—Large-scale online applications such as Massively Multiplayer Online Games (MMOGs) require large amount of computing resources that support many players interacting simultaneous...
Y. C. Allen Yu, Ka Lun Eddie Law
VLDB
2007
ACM
119views Database» more  VLDB 2007»
15 years 10 months ago
Dynamic Workload Management for Very Large Data Warehouses: Juggling Feathers and Bowling Balls
Workload management for business intelligence (BI) queries poses different challenges than those addressed in the online transaction processing (OLTP) context. The fundamental pro...
Stefan Krompass, Umeshwar Dayal, Harumi A. Kuno, A...