Andrew D. Back - researchr alias

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Viewing Publication 1 - 31 from 31

2023

Estimation of Statistical Manifold Properties of Natural Sequences using Information TopologyAndrew D. Back, Janet Wiles. gacm 2023: 542-546 [doi]

2022

An Information Theoretic Approach to Symbolic Learning in Synthetic LanguagesAndrew D. Back, Janet Wiles. entropy, 24(2):259, 2022. [doi]

Estimating Sentence-like Structure in Synthetic Languages Using Information TopologyAndrew D. Back, Janet Wiles. entropy, 24(7):859, 2022. [doi]

2021

Entropy Estimation Using a Linguistic Zipf-Mandelbrot-Li Model for Natural SequencesAndrew D. Back, Janet Wiles. entropy, 23(9):1100, 2021. [doi]

2020

Transitive Entropy - A Rank Ordered Approach for Natural SequencesAndrew D. Back, Daniel Angus, Janet Wiles. jstsp, 14(2):312-321, 2020. [doi]

A Plan for Developing an Auslan Communication Technologies PipelineJessica Korte, Axel Bender, Guy Edward Gallasch, Janet Wiles, Andrew D. Back. eccv 2020: 264-277 [doi]

2019

Determining the Number of Samples Required to Estimate Entropy in Natural SequencesAndrew D. Back, Daniel Angus, Janet Wiles. TIT, 65(7):4345-4352, 2019. [doi]

2018

PauseCode: Computational Conversation Timing AnalysisDaniel Angus, Yeyang Yu, Paul Vrbik, Andrew D. Back, Janet Wiles. icmi 2018: 43-47 [doi]

2012

Neural Network Classification and Prior Class ProbabilitiesSteve Lawrence, Ian Burns, Andrew D. Back, Ah Chung Tsoi, C. Lee Giles. In Grégoire Montavon, Genevieve B. Orr, Klaus-Robert Müller, editors, Neural Networks: Tricks of the Trade - Second Edition. Volume 7700 of Lecture Notes in Computer Science, pages 295-309, Springer, 2012. [doi]

2006

Input Variable Selection: Mutual Information and Linear Mixing MeasuresThomas P. Trappenberg, Jie Ouyang, Andrew D. Back. tkde, 18(1):37-46, 2006. [doi]

2002

Universal Approximation of Multiple Nonlinear Operators by Neural NetworksAndrew D. Back, Tianping Chen. neco, 14(11):2561-2566, 2002. [doi]

2001

Selecting inputs for modeling using normalized higher order statistics and independent component analysisAndrew D. Back, Thomas P. Trappenberg. tnn, 12(3):612-617, 2001. [doi]

A spiking neural network architecture for nonlinear function approximationNicolangelo Iannella, Andrew D. Back. NN, 14(6-7):933-939, 2001. [doi]

2000

A Classification Scheme for Applications with Ambiguous DataThomas P. Trappenberg, Andrew D. Back. ijcnn 2000: 296-301 [doi]

1999

Input variable selection using independent component analysisAndrew D. Back, Thomas P. Trappenberg. ijcnn 1999: 989-992 [doi]

Alternative discrete-time operators: an algorithm for optimal selection of parametersAndrew D. Back, Bill G. Horne, Ah Chung Tsoi, C. Lee Giles. tsp, 47(9):2612-2615, 1999. [doi]

1998

What drives stock returns?-an independent component analysisAndrew D. Back, Andreas S. Weigend. cifer 1998: 141-156 [doi]

A Low Sensitivity Recurrent Neural NetworkAndrew D. Back, Ah Chung Tsoi. neco, 10(1):165-188, 1998.

1997

1996

Neural Network Classification and Prior Class ProbabilitiesSteve Lawrence, Ian Burns, Andrew D. Back, Ah Chung Tsoi, C. Lee Giles. nips 1998: 299-313 [doi]

1995

The Gamma MLP for Speech Phoneme RecognitionSteve Lawrence, Ah Chung Tsoi, Andrew D. Back. nips 1996: 785-791 [doi]

1994

A Comparison of Discrete-Time Operator Models and for Nonlinear System IdentificationAndrew D. Back, Ah Chung Tsoi. nips 1995: 883-890 [doi]

Locally recurrent globally feedforward networks: a critical review of architecturesAh Chung Tsoi, Andrew D. Back. tnn, 5(2):229-239, 1994. [doi]

1993

A Simplified Gradient Algorithm for IIR Synapse Multilayer PerceptronsAndrew D. Back, Ah Chung Tsoi. neco, 5(3):456-462, 1993. [doi]

1992

An Adaptive Lattice Architecture for Dynamic Multilayer PerceptronsAndrew D. Back, Ah Chung Tsoi. neco, 4(6):922-931, 1992. [doi]

New techniques for nonlinear system identification : a rapprochement between neural networks and linear systems / by Andrew D. BackAndrew D. Back. PhD thesis, University of Queensland, Australia, 1992. [doi]

1991

FIR and IIR Synapses, a New Neural Network Architecture for Time Series ModelingAndrew D. Back, Ah Chung Tsoi. neco, 3(3):375-385, 1991. [doi]

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