Project details

School of Electrical & Electronic Engineering


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Proj No. A2282-251
Title Epsilon machines and their implementation
Summary Epsilon-machines are a class of minimal, predictive Hidden Markov Models (HMMs) that capture the underlying causal structure of a stochastic process from its observable statistics. They are central to computational mechanics, a framework for modeling patterns in time-series data.
Supervisor Prof Gao Weibo (Loc:S1 > S1 B1B > S1 B1B 51, Ext: +65 67905377)
Co-Supervisor -
RI Co-Supervisor -
Lab Quantum Science and Engineering Centre (QSeC) (Loc: S1-B4A-02)
Single/Group: Single
Area: Microelectronics and Biomedical Electronics
ISP/RI/SMP/SCP?: