Shih-Yang Chiao

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A decision making mechanism based on Hidden Markov Models (HMMs) was presented in the paper. This paper is concerned with the modelling of the behaviour of players operating in a competitive environment that is characterized by interactions amongst players or groups of players. Thus a new, on-line, hierarchical, probabilistic modelling architecture with a(More)
Two novel approaches to the problem of brain signals (electroencephalogram (EEG)) classification are introduced in the paper. The first method is based on a modular probabilistic network architecture that employs multiple dependant hidden Markov models (DM-HMM-D) on the input features (channels). The second method, eClass, is based on an on-line evolvable(More)
We introduce a new methodology for the hierarchical modeling of the behavior-with-time of players operating and interacting within a certain application domain. Behavior modelling and characterization are performed online, given that a number of observations are made or sensed at regular time intervals with respect to each player. A key element of this(More)
In order to deliver real time, high quality voice services, VoIP system designers must tackle the packet-loss problems that are inherent in packet-based networks. To combat the inevitable speech quality deterioration resulting from the loss of transmitted packets of speech information, techniques that provide estimates of the lost information that is needed(More)
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