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» Modelling Adaptive Systems in ForSyDe
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WSC
2007
15 years 8 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
163
Voted
ESANN
1998
15 years 7 months ago
Lazy learning for control design
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Gianluca Bontempi, Mauro Birattari, Hugues Bersini
167
Voted
ICSOFT
2008
15 years 7 months ago
An Architecture for Non Functional Properties Management in Distributed Computing
One of the primary benefits of Service Oriented Architecture (SOA) [1] is the ability to compose applications, processes or more complex services from other services. As the comple...
Pierre de Leusse, Panos Periorellis, Theodosis Dim...
153
Voted
CVPR
2007
IEEE
16 years 8 months ago
Towards Robust Pedestrian Detection in Crowded Image Sequences
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
Edgar Seemann, Mario Fritz, Bernt Schiele
148
Voted
IEEESCC
2008
IEEE
16 years 17 days ago
Mining Process Variants: Goals and Issues
Recently, Process-Aware Information Systems (PAIS) were introduced, which allow for dynamic process and service changes. This, in turn, has led to a large number of process model ...
Chen Li, Manfred Reichert, Andreas Wombacher