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ESANN
2008
15 years 8 months ago
Approximation of Gaussian process regression models after training
The evaluation of a standard Gaussian process regression model takes time linear in the number of training data points. In this paper, the models are approximated in the feature sp...
Thorsten Suttorp, Christian Igel
DAGSTUHL
2006
15 years 8 months ago
Stochastic Process Algebra Models of a Circadian Clock
We present stochastic process algebra models of a Circadian clock mechanism used in many biological organisms to regulate time-based behaviour. We compare modelling techniques fro...
Jeremy T. Bradley, Thomas Thorne
RTSS
2005
IEEE
16 years 2 days ago
Event Count Automata: A State-Based Model for Stream Processing Systems
Recently there has been a growing interest in models and methods targeted towards the (co)design of stream processing applications; e.g. those for audio/video processing. Streams ...
Samarjit Chakraborty, Linh T. X. Phan, P. S. Thiag...
JSS
2000
86views more  JSS 2000»
15 years 6 months ago
Quantitative analysis of static models of processes
The upstream activities of software development projects are often viewed as both the most important, the least understood, and hence the most problematic. This is particularly no...
Keith Phalp, Martin J. Shepperd
BPM
2007
Springer
168views Business» more  BPM 2007»
16 years 21 days ago
Modeling Control Objectives for Business Process Compliance
Business process design is primarily driven by process improvement objectives. However, the role of control objectives stemming from regulations and standards is becoming increasin...
Shazia Wasim Sadiq, Guido Governatori, Kioumars Na...