Skip to menu Skip to content Skip to footer

1999

Conference Publication

Learning to predict a context-free language: Analysis of dynamics in recurrent hidden units

Boden, M. B., Wiles, J. H., Tonkes, B. and Blair, A. D. (1999). Learning to predict a context-free language: Analysis of dynamics in recurrent hidden units. ICANN'99, Edinburgh, Scotland, 7-10 September, 1999. London, United Kingdom: IEE. doi: 10.1049/cp:19991135

Learning to predict a context-free language: Analysis of dynamics in recurrent hidden units

1999

Conference Publication

AI techniques used in Computer Go

Burmeister, J. M. and Wiles, J. H. (1999). AI techniques used in Computer Go. Fourth Biennial Australasian Cognitive Science Conference, Newcastle, 26-28 Sept 1997. Newcastle: The University of Newcastle.

AI techniques used in Computer Go

1999

Conference Publication

Learning a context free task with a recurrent neural network

Tonkes, B. and Wiles, J. H. (1999). Learning a context free task with a recurrent neural network. Fourth Biennnial Australasian Cognitive Science Conference, Newcastle, 26-18 Sept 1997. Newcastle: The University of Newcastle.

Learning a context free task with a recurrent neural network

1999

Conference Publication

On the ability of recurrent nets to learn deeply embedded structures

Boden, M. B., Wiles, J. H., Tonkes, B. and Blair, A. D. (1999). On the ability of recurrent nets to learn deeply embedded structures. IJCAI'99, Stockholm, 31 July - 6 August 1999. Stockholm: IJCAII.

On the ability of recurrent nets to learn deeply embedded structures

1998

Conference Publication

Recurrent neural networks can learn to implement symbol-sensitive counting

Rodriguez, Paul and Wiles, Janet (1998). Recurrent neural networks can learn to implement symbol-sensitive counting. 11th Annual Conference on Neural Information Processing Systems,, Denver, CO, United States, 1-6 December 1997. Maryland Heights, MO, United States: Morgan Kaufmann Publishers.

Recurrent neural networks can learn to implement symbol-sensitive counting

1997

Conference Publication

Towards a grounding of simple recurrent networks in analog computation theory

Rodriguez, P. and Wiles, J. H. (1997). Towards a grounding of simple recurrent networks in analog computation theory. Fourth Biennial Australasian Cognitive Science Conference, Newcastle, 26-28 Sept 1997. Newcastle: The University of Newcastle.

Towards a grounding of simple recurrent networks in analog computation theory

1997

Conference Publication

Adding phase to recurrent backpropagation networks: An application to binding tasks in vision

Majewski H. and Wiles J. (1997). Adding phase to recurrent backpropagation networks: An application to binding tasks in vision. 4th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1997, Lanzarote, Canary Islands, June 4, 1997-June 6, 1997.

Adding phase to recurrent backpropagation networks: An application to binding tasks in vision

1996

Journal Article

Using bottlenecks in feedforward networks as a dimension reduction technique: an application to optimization tasks

Wiles, Janet, Bakker, Paul, Lynton, Adam, Norris, Michael, Parkinson, Sean, Staples, Mark and Whiteside, Alan (1996). Using bottlenecks in feedforward networks as a dimension reduction technique: an application to optimization tasks. Neural Computation, 8 (6), 1179-1183. doi: 10.1162/neco.1996.8.6.1179

Using bottlenecks in feedforward networks as a dimension reduction technique: an application to optimization tasks

1996

Journal Article

Mathematical constraints on a theory of human memory - Response

Dennis, S., Humphreys, M.S. and Wiles, J. (1996). Mathematical constraints on a theory of human memory - Response. Behavioral And Brain Sciences, 19 (3), 559-560. doi: 10.1017/s0140525x00082212

Mathematical constraints on a theory of human memory - Response

1995

Conference Publication

On relating local and global factors: A case study from the game of Go

Burmeister, Jay, Wiles, Janet and Purchase, Helen (1995). On relating local and global factors: A case study from the game of Go. 3rd Australian and New Zealand Conference on Intelligent Information Systems, ANZIIS 1995, Perth, WA Australia, November 27 1995. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ANZIIS.1995.705738

On relating local and global factors: A case study from the game of Go

1995

Conference Publication

The challenge of go as a domain for AI research: A comparison between go and chess

Burmeister, Jay and Wiles, Janet (1995). The challenge of go as a domain for AI research: A comparison between go and chess. 3rd Australian and New Zealand Conference on Intelligent Information Systems, Perth, WA Australia, November 27 1995. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ANZIIS.1995.705737

The challenge of go as a domain for AI research: A comparison between go and chess

1994

Journal Article

Beyond the Tower of Babel in human memory research: The validity and utility of specification

Humphreys, Michael S., Wiles, Janet and Dennis, Simon (1994). Beyond the Tower of Babel in human memory research: The validity and utility of specification. Behavioral and Brain Sciences, 17 (4), 682-692. doi: 10.1017/S0140525X0003661X

Beyond the Tower of Babel in human memory research: The validity and utility of specification

1994

Journal Article

Toward a theory of human memory: Data structures and access processes

Humphreys, Michael S., Wiles, Janet and Dennis, Simon (1994). Toward a theory of human memory: Data structures and access processes. Behavioral and Brain Sciences, 17 (4), 655-667. doi: 10.1017/S0140525X00036451

Toward a theory of human memory: Data structures and access processes

1993

Conference Publication

Intersecting regions: the key to combinatorial structure in hidden unit space

Wiles, Janet and Ollila, Mark (1993). Intersecting regions: the key to combinatorial structure in hidden unit space. Advances in Neural Information Processing Systems, Denver, CO, United States, 30 November 30-3 December 1992 . Maryland Heights, MO, United States: Morgan Kaufmann Publishers.

Intersecting regions: the key to combinatorial structure in hidden unit space

1993

Conference Publication

Error signals, exceptions, and back propagation

Lister Raymond, Bakker Paul and Wiles Janet (1993). Error signals, exceptions, and back propagation. Proceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3), Nagoya, Jpn, October 25, 1993-October 29, 1993. Publ by IEEE. doi: 10.1109/ijcnn.1993.713980

Error signals, exceptions, and back propagation

1993

Conference Publication

Exponential generalizations from a polynomial number of examples in a combinatorial domain

Phillips Steven and Wiles Janet (1993). Exponential generalizations from a polynomial number of examples in a combinatorial domain. Proceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3), Nagoya, Jpn, October 25, 1993-October 29, 1993. Publ by IEEE. doi: 10.1109/ijcnn.1993.713964

Exponential generalizations from a polynomial number of examples in a combinatorial domain

1993

Conference Publication

PARALLEL DISTRIBUTED PROCESSING APPROACHES TO CREATIVE REASONING: TENSOR MODELS OF MEMORY AND ANALOGY

Halford, Graeme S., Wiles, Janet, Humphreys, Michael S. and Wilson, William H. (1993). PARALLEL DISTRIBUTED PROCESSING APPROACHES TO CREATIVE REASONING: TENSOR MODELS OF MEMORY AND ANALOGY. Association for the Advancement of Artificial Intelligence.

PARALLEL DISTRIBUTED PROCESSING APPROACHES TO CREATIVE REASONING: TENSOR MODELS OF MEMORY AND ANALOGY

1992

Conference Publication

Operators and curried functions: training and analysis of simple recurrent networks

Wiles, Janet and Bloesch, Anthony (1992). Operators and curried functions: training and analysis of simple recurrent networks. 5Th Conf On Neural Information Processing Systems - Natural and Synthetic ( NIPS-91 ), Denver, CO, United States, 2-5 December 1991. Maryland Heights, MO, United States: Morgan Kaufmann Publishers.

Operators and curried functions: training and analysis of simple recurrent networks