Jim Austin

Search results

• 2014

  Incorporating scale invariance into the cellular associative neural network

  Burles, N., O'Keefe, S. & Austin, J., 1 Jan 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, Vol. 8681 LNCS. p. 435-442 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8681 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

  File
• 2013

  A Survey of Outlier Detection Methodologies

  Hodge, V. J. & Austin, J., 26 Sept 2013, Fundamentals of Regression Modeling. Babones, S. (ed.). (SAGE Benchmarks in Social Research Methods).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

• Improving the associative rule chaining architecture

  Burles, N. J., O'Keefe, S. & Austin, J., 2013, Artificial Neural Networks and Machine Learning - ICANN 2013: 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 2013. Proceedings.. Mladenov, V., Palm, G., Appollini, B., Koprinkova-Hristova, P., Villa, A. & Kasabov, N. (eds.). Berlin: Springer, Vol. 8131 LNCS. p. 98-105 8 p. (Lecture Notes in Computer Science; vol. 8131).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

  Open Access

  File
• 2012

  A Rule Chaining Architecture Using a Correlation Matrix Memory

  Austin, J., Hobson, S. J., Burles, N. J. & O'Keefe, S., 2012, Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I. PART 1 ed. Springer, Vol. 7552. p. 49-56 (Lecture Notes in Computer Science; vol. 7552).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

  File