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» Structured decomposition of adaptive applications
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AAAI
2006
15 years 1 months ago
Performing Incremental Bayesian Inference by Dynamic Model Counting
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
Wei Li 0002, Peter van Beek, Pascal Poupart
101
Voted
TSP
2008
119views more  TSP 2008»
14 years 11 months ago
The Shiftable Complex Directional Pyramid - Part II: Implementation and Applications
In Part I ["The shiftable complex directional pyramid--Part I: Theoretical Aspects," IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 56, no. 10, October 2008], we proposed a...
Truong T. Nguyen, Soontorn Oraintara
87
Voted
CSMR
2004
IEEE
15 years 3 months ago
Architecture-Aware Adaptive Clustering of OO Systems
The recovery of software architecture is a first important step towards re-engineering a software system. Architecture recovery usually involves clustering. The problem with curre...
Markus Bauer, Mircea Trifu
87
Voted
TIP
1998
135views more  TIP 1998»
14 years 11 months ago
Adaptive weighted highpass filters using multiscale analysis
In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a w...
Robert D. Nowak, Richard G. Baraniuk
SBMF
2009
Springer
156views Formal Methods» more  SBMF 2009»
15 years 6 months ago
Applying Event and Machine Decomposition to a Flash-Based Filestore in Event-B
Abstract. Event-B is a formal method used for specifying and reasoning about systems. Rodin is a toolset for developing system models in Event-B. Our experiment which is outlined i...
Kriangsak Damchoom, Michael J. Butler