We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
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...
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...
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...
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...