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Richard Coggins: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Adam Blazejewski, Richard Coggins
    Application of self-organizing maps to clustering of high-frequency Financial data. [Citation Graph (0, 0)][DBLP]
    ACSW Frontiers, 2004, pp:85-90 [Conf]
  2. Weidong Zhou, Richard Coggins
    Computational Models of the Amygdala and the Orbitofrontal Cortex: A Hierarchical Reinforcement Learning System for Robotic Control. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:419-430 [Conf]
  3. Weidong Zhou, Richard Coggins
    Biologically Inspired Reinforcement Learning: Reward-Based Decomposition for Multi-goal Environments. [Citation Graph (0, 0)][DBLP]
    BioADIT, 2004, pp:80-94 [Conf]
  4. Weidong Zhou, Richard Coggins
    Emotion-based Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    HIS, 2003, pp:951-960 [Conf]
  5. Kevin Lo, Richard Coggins
    Intraday Analysis of Portfolios on the ASX Using ICA. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:934-938 [Conf]
  6. Richard Coggins, Marwan A. Jabri
    WATTLE: A Trainable Gain Analogue VLSI Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:874-881 [Conf]
  7. Richard Coggins, Marwan A. Jabri, Barry Flower, Stephen Pickard
    ICEG Morphology Classification using an Analogue VLSI Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:731-738 [Conf]
  8. Richard Coggins, Raymond J. Wang, Marwan A. Jabri
    A Micropower CMOS Adaptive Amplitude and Shift Invariant Vector Quantiser. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:671-677 [Conf]
  9. Weidong Zhou, Richard Coggins
    A Biologically Inspired Hierarchical Reinforcement Learning System. [Citation Graph (0, 0)][DBLP]
    Cybernetics and Systems, 2005, v:36, n:1, pp:1-44 [Journal]

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