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NIPS
2007
15 years 8 months ago
Variational Inference for Diffusion Processes
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are in general only partially observed. The joint estimation of the forcing paramete...
Cédric Archambeau, Manfred Opper, Yuan Shen...
ML
2008
ACM
15 years 7 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
VLDB
2002
ACM
97views Database» more  VLDB 2002»
15 years 6 months ago
Incorporating XSL Processing into Database Engines
The two observations that 1) many XML documents are stored in a database or generated from data stored in a database and 2) processing these documents with XSL stylesheet processo...
Guido Moerkotte
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
16 years 8 months ago
Top-k Query Processing in Uncertain Databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between score and uncertainty makes traditio...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
WECWIS
2006
IEEE
151views ECommerce» more  WECWIS 2006»
16 years 1 months ago
DAG Synchronization Constraint Language for Business Processes
Correct synchronization among activities is critical in a business process. Current workflow languages such as BPEL specify the control flow of processes explicitly. However, thei...
Qinyi Wu, Akhil Sahai