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» The Four Phase Method for Modelling Complex Systems
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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
14 years 11 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
CODES
2006
IEEE
15 years 3 months ago
A formal approach to robustness maximization of complex heterogeneous embedded systems
Embedded system optimization typically considers objectives such as cost, timing, buffer sizes and power consumption. Robustness criteria, i.e. sensitivity of the system to variat...
Arne Hamann, Razvan Racu, Rolf Ernst
INFSOF
2000
91views more  INFSOF 2000»
14 years 9 months ago
An operational approach to the design of workflow systems
We construct models as an aid to our thought process. A particular class of models, operational models, can be used for simulation and prototyping. The Opj modeling language is su...
Rakesh Agarwal, Giorgio Bruno, Marco Torchiano
COMPLEX
2009
Springer
15 years 4 months ago
Dynamic Regimes of a Multi-agent Stock Market Model
This paper presents a stochastic multi-agent model of stock market. The market dynamics include switches between chartists and fundamentalists and switches in the prevailing opinio...
Tongkui Yu, Honggang Li
SIGECOM
2006
ACM
143views ECommerce» more  SIGECOM 2006»
15 years 3 months ago
The computational complexity of nash equilibria in concisely represented games
Games may be represented in many different ways, and different representations of games affect the complexity of problems associated with games, such as finding a Nash equilib...
Grant Schoenebeck, Salil P. Vadhan