Colin Fyfe

According to our database, Colin Fyfe authored at least 171 papers between 1995 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Factors important for good visualisation of time series.

Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe

Int. J. Comput. Sci. Eng., 2016

Achieving cooperation with many prisoners in the NIPD.

Juan Enrique Agudo, Colin Fyfe

Int. J. Comput. Sci. Eng., 2016

2014

Improving Bregman k-means.

Wesam M. Ashour, Colin Fyfe

Int. J. Data Min. Model. Manag., 2014

2013

Visualising Temporal Data Using Reservoir Computing.

Tzai-Der Wang, Colin Fyfe

J. Inf. Sci. Eng., 2013

Incorporating visualisation quality measures to curvilinear component analysis.

Jigang Sun, Malcolm K. Crowe, Colin Fyfe

Inf. Sci., 2013

Whitening central projection descriptor for affine-invariant shape description.

Rushi Lan, Jianwei Yang, Yong Jiang, Colin Fyfe, Zhan Song

IET Image Process., 2013

2012

Evolutionary algorithms and cross entropy.

Colin Fyfe, Domingo Ortiz-Boyer, Nicolás García-Pedrajas

Int. J. Knowl. Based Intell. Eng. Syst., 2012

Class imbalance methods for translation initiation site recognition in DNA sequences.

Nicolás García-Pedrajas, Javier Pérez-Rodríguez, María D. García-Pedrajas, Domingo Ortiz-Boyer, Colin Fyfe

Knowl. Based Syst., 2012

Extending Sammon mapping with Bregman divergences.

Jigang Sun, Colin Fyfe, Malcolm K. Crowe

Inf. Sci., 2012

Dual stream data exploration.

Xi Wang, Malcolm K. Crowe, Colin Fyfe

Int. J. Data Min. Model. Manag., 2012

Reinforcement Programming for function approximation.

Salah Rana, Malcolm K. Crowe, Colin Fyfe

Proceedings of the 12th UK Workshop on Computational Intelligence, 2012

Comparative study of visualisation methods for temporal data.

Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Extending metric multidimensional scaling with Bregman divergences.

Jigang Sun, Malcolm K. Crowe, Colin Fyfe

Pattern Recognit., 2011

Special issue on the trends in applied intelligence systems.

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe

Appl. Intell., 2011

Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks.

Sebastián Basterrech, Colin Fyfe, Gerardo Rubino

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Multi-layer Topology Preserving Mapping for K-Means Clustering.

Ying Wu, Thomas K. Doyle, Colin Fyfe

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Minimal Echo State Networks for Visualisation.

Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

Reinforcement Learning for the N-Persons Iterated Prisoners' Dilemma.

Juan Enrique Agudo, Colin Fyfe

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010

Particle Swarm Optimization in Exploratory Data Analysis.

Ying Wu, Colin Fyfe

Proceedings of the Trends in Applied Intelligent Systems, 2010

Independent Component Analysis Using Bregman Divergences.

Xi Wang, Colin Fyfe

Proceedings of the Trends in Applied Intelligent Systems, 2010

Class Imbalance Methods for Translation Initiation Site Recognition.

Nicolás García-Pedrajas, Domingo Ortiz-Boyer, María D. García-Pedrajas, Colin Fyfe

Proceedings of the Trends in Applied Intelligent Systems, 2010

Curvilinear component analysis and Bregman divergences.

Jigang Sun, Colin Fyfe, Malcolm K. Crowe

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Non-Standard Parameter Adaptation for Exploratory Data Analysis

Wesam Barbakh, Ying Wu, Colin Fyfe

Studies in Computational Intelligence 249, Springer, ISBN: 978-3-642-04004-7, 2009

Experimental analysis on Sarsa(lambda) and Q(lambda) with different eligibility traces strategies.

Jinsong Leng, Colin Fyfe, Lakhmi C. Jain

J. Intell. Fuzzy Syst., 2009

Experimental analysis of eligibility traces strategies in temporal difference learning.

Jinsong Leng, Lakhmi C. Jain, Colin Fyfe

Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings.

Colin Fyfe, Wesam Barbakh

Proceedings of the Similarity-Based Clustering, 2009

2008

Topographic Maps for Clustering and Data Visualization.

Colin Fyfe

Proceedings of the Computational Intelligence: A Compendium, 2008

Evolving Output Codes for Multiclass Problems.

Nicolás García-Pedrajas, Colin Fyfe

IEEE Trans. Evol. Comput., 2008

Two forms of immediate reward reinforcement learning for exploratory data analysis.

Ying Wu, Colin Fyfe, Pei Ling Lai

Neural Networks, 2008

Simulation and reinforcement learning with soccer agents.

Jinsong Leng, Colin Fyfe, Lakhmi C. Jain

Multiagent Grid Syst., 2008

A stochastic process formulation of learning in cooperative agents.

Colin Fyfe, Gayle Leen, Lakhmi C. Jain, Steve Thatcher

Multiagent Grid Syst., 2008

Local vs global interactions in clustering algorithms: Advances over K-means.

Wesam Barbakh, Colin Fyfe

Int. J. Knowl. Based Intell. Eng. Syst., 2008

Gaussian processes for canonical correlation analysis.

Colin Fyfe, Gayle Leen, Pei Ling Lai

Neurocomputing, 2008

Topological Mappings of Video and Audio Data.

Colin Fyfe, Wesam Barbakh, Wei Chuang Ooi, Hanseok Ko

Int. J. Neural Syst., 2008

Online Clustering Algorithms.

Wesam Barbakh, Colin Fyfe

Int. J. Neural Syst., 2008

Construction of classifier ensembles by means of artificial immune systems.

Nicolás García-Pedrajas, Colin Fyfe

J. Heuristics, 2008

Exploratory data analysis with artificial immune systems.

Ying Wu, Colin Fyfe

Evol. Intell., 2008

A topology preserving mapping for face recognition.

Colin Fyfe, Tseng Wen-Ching, Wu Chia-Ti, Chien Shih-Yu, Pei Ling Lai

Proceedings of the International Joint Conference on Neural Networks, 2008

Feature Locations in Images.

Hokun Kim, Colin Fyfe, Hanseok Ko

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Bregman Divergences and the Self Organising Map.

Eunsong Jang, Colin Fyfe, Hanseok Ko

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Bregman Divergences and Multi-dimensional Scaling.

Pei Ling Lai, Colin Fyfe

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Nonlinear Boosting Projections for Ensemble Construction.

Nicolás García-Pedrajas, César Ignacio García-Osorio, Colin Fyfe

J. Mach. Learn. Res., 2007

Immune network based ensembles.

Nicolás García-Pedrajas, Colin Fyfe

Neurocomputing, 2007

Two topographic maps for data visualisation.

Colin Fyfe

Data Min. Knowl. Discov., 2007

Convergence Analysis on Approximate Reinforcement Learning.

Jinsong Leng, Lakhmi C. Jain, Colin Fyfe

Proceedings of the Knowledge Science, 2007

Reinforcement Learning of Competitive Skills with Soccer Agents.

Jinsong Leng, Colin Fyfe, Lakhmi C. Jain

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Reinforcement Learning Reward Functions for Unsupervised Learning.

Colin Fyfe, Pei Ling Lai

Proceedings of the Advances in Neural Networks, 2007

Reinforcement Learning for Topographic Mappings.

Pei Ling Lai, Colin Fyfe

Proceedings of the International Joint Conference on Neural Networks, 2007

Visualising and Clustering Video Data.

Colin Fyfe, Wei Chuang Ooi, Hanseok Ko

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Clustering with Reinforcement Learning.

Wesam Barbakh, Colin Fyfe

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Stochastic Weights Reinforcement Learning for Exploratory Data Analysis.

Ying Wu, Colin Fyfe, Pei Ling Lai

Proceedings of the Artificial Neural Networks, 2007

Temporal Difference Control within a Dynamic Environment.

Leo Galway, Darryl Charles, Michaela M. Black, Colin Fyfe

Proceedings of the GAMEON'2007, 2007

Immediate Reward Reinforcement Learning for Projective Kernel Methods.

Colin Fyfe, Pei Ling Lai

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006

Teams of intelligent agents which learn using artificial immune systems.

Colin Fyfe, Lakhmi C. Jain

J. Netw. Comput. Appl., 2006

Simulation of Cooperation for Price Competition in Oligopolies.

Tzai-Der Wang, Colin Fyfe

Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Twinned Topographic Maps for Decision Making in the Cockpit.

Steve Thatcher, Colin Fyfe

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Teamwork and Simulation in Hybrid Cognitive Architecture.

Jinsong Leng, Colin Fyfe, Lakhmi C. Jain

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Comparing Gaussian Processes and Artificial Neural Networks for Forecasting.

Colin Fyfe, Tzai-Der Wang, Shang Jen Chuang

Proceedings of the 2006 Joint Conference on Information Sciences, 2006

A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis.

Pei Ling Lai, Gayle Leen, Colin Fyfe

Proceedings of the International Joint Conference on Neural Networks, 2006

A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation.

Pei Ling Lai, Colin Fyfe

Proceedings of the International Joint Conference on Neural Networks, 2006

The Topographic Neural Gas.

Marian Pena, Colin Fyfe

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A Family of Novel Clustering Algorithms.

Wesam Barbakh, Malcolm K. Crowe, Colin Fyfe

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis.

Colin Fyfe, Gayle Leen

Proceedings of the Neural Information Processing, 13th International Conference, 2006

The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis.

Pei Ling Lai, Gayle Leen, Colin Fyfe

Proceedings of the Artificial Neural Networks, 2006

Outlier identification with the Harmonic Topographic Mapping.

Marian Pena, Colin Fyfe

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

A Gaussian process latent variable model formulation of canonical correlation analysis.

Gayle Leen, Colin Fyfe

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Stochastic Processes for Canonical Correlation Analysis.

Colin Fyfe, Gayle Leen

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Improving Artificial Intelligence In a Motocross Game.

Benoit Chaperot, Colin Fyfe

Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG06), 2006

2005

Hebbian Learning and Negative Feedback Networks.

Colin Fyfe

Advanced Information and Knowledge Processing, Springer, ISBN: 978-1-84628-118-1, 2005

Visualization of High-dimensional Data via Orthogonal Curves.

César Ignacio García-Osorio, Colin Fyfe

J. Univers. Comput. Sci., 2005

Regaining sparsity in kernel principal components.

César Ignacio García-Osorio, Colin Fyfe

Neurocomputing, 2005

The combined use of self-organizing maps and andrews' curves.

César Ignacio García-Osorio, Colin Fyfe

Int. J. Neural Syst., 2005

The Topographic Product of Experts.

Colin Fyfe

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Local vs Global Models in Pong.

Colin Fyfe

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Phase transition in sparse associative neural networks.

Oleksiy Dekhtyarenko, Valery Tereshko, Colin Fyfe

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Training an AI Player to play Pong Using the GTM.

Gayle Leen, Colin Fyfe

Proceedings of the 2005 IEEE Symposium on Computational Intelligence and Games (CIG05), 2005

Incrementally Learned Subjectivist Probabilities in Games.

Colin Fyfe

Proceedings of the 2005 IEEE Symposium on Computational Intelligence and Games (CIG05), 2005

2004

Twinned principal curves.

Jos Koetsier, Ying Han, Colin Fyfe

Neural Networks, 2004

A canonical correlation neural network for multicollinearity and functional data.

Zhenkun Gou, Colin Fyfe

Neural Networks, 2004

Internet agents who structure concept formation using kernel self-organising maps.

Emilio Corchado, Donald MacDonald, Colin Fyfe

Int. J. Web Eng. Technol., 2004

Forecasting using twinned principal curves and twinned self-organising maps.

Ying Han, Emilio Corchado, Colin Fyfe

Neurocomputing, 2004

Dynamic Strategy Creation and Selection Using Artificial Immune Systems.

Colin Fyfe

Int. J. Intell. Games Simul., 2004

Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit.

Emilio Corchado, Donald MacDonald, Colin Fyfe

Data Min. Knowl. Discov., 2004

A Gis And Web-Based Decision Support Tool For The Management Of Urban Soils.

Iain Hossack, Douglas Robertson, Peter Tucker, Andrew Hursthouse, Colin Fyfe

Cybern. Syst., 2004

A Kernel Method for Classification.

Donald MacDonald, Jos Koetsier, Emilio Corchado, Colin Fyfe, Juan M. Corchado

Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian Learning.

Donald MacDonald, Emilio Corchado, Colin Fyfe

Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

An Intelligent Aircraft Landing Support System.

Steve Thatcher, Lakhmi C. Jain, Colin Fyfe

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Dual Stream Artificial Neural Networks.

Colin Fyfe

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Strategy Selection in Games Using Co-evolution Between Artificial Immune Systems.

Donald MacDonald, Colin Fyfe

Proceedings of the Entertainment Computing, 2004

Agent Wars with Artificial Immune Systems.

Gayle Leen, Colin Fyfe

Proceedings of the Entertainment Computing, 2004

Development of a Global and Integral Model of Business Management Using an Unsupervised Model.

Emilio Corchado, Colin Fyfe, Lourdes Sáiz Bárcena, Ana María Lara Palma

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Kernel Maximum Likelihood Hebbian Learning.

Jos Koetsier, Emilio Corchado, Donald MacDonald, Juan M. Corchado, Colin Fyfe

Proceedings of the Computational Science, 2004

Traffic Jams: An Evolutionary Investigation.

Tzai-Der Wang, Colin Fyfe

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004

Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps.

César Ignacio García-Osorio, Jesús Maudes, Colin Fyfe

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003

Structuring global responses of local filters using lateral connections.

Emilio Corchado, Ying Han, Colin Fyfe

J. Exp. Theor. Artif. Intell., 2003

Connectionist Techniques For The Identification And Suppression Of Interfering Underlying Factors.

Emilio Corchado, Colin Fyfe

Int. J. Pattern Recognit. Artif. Intell., 2003

An Extension of epsilon-Insensitive Hebbian Learning to Form a Non-Interfering Basis.

Emilio Corchado, Colin Fyfe

Int. J. Comput. Intell. Appl., 2003

Progressive Concept Formation in Self-Organising Maps.

Emilio Corchado, Colin Fyfe

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Initialising Self-Organising Maps.

Emilio Corchado, Colin Fyfe

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR Systems.

Juan M. Corchado, Emilio Corchado, Jim Aiken, Colin Fyfe, Florentino Fernández Riverola, Manuel Gonzalez

Proceedings of the Case-Based Reasoning Research and Development, 2003

Relevance and Kernel Self-Organising Maps.

Emilio Corchado, Colin Fyfe

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

Guest editorial introduction.

Colin Fyfe, Bogdan Gabrys

Knowl. Based Syst., 2002

epsilon-insensitive Hebbian learning.

Colin Fyfe, Donald MacDonald

Neurocomputing, 2002

Unsupervised neural networks for the identification of minimum overcomplete basis in visual data.

Darryl Charles, Colin Fyfe, Donald MacDonald, Jos Koetsier

Neurocomputing, 2002

Extraction of Independent Causes Using Lateral Connections.

Emilio Corchado, Colin Fyfe

Int. J. Comput. Intell. Appl., 2002

Finding Underlying Factors in Timeseries.

Ying Han, Colin Fyfe

Cybern. Syst., 2002

A comparison of Kernel methods for instantiating case based reasoning systems.

Colin Fyfe, Juan M. Corchado

Adv. Eng. Informatics, 2002

Extraction of Visual Information Using Maximum Likelihood Hebbian Learning.

Emilio Corchado, Colin Fyfe

Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

A robust canonical correlation neural network.

Zhenkun Gou, Colin Fyfe

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Classification and ICA using maximum likelihood Hebbian learning.

Emilio Corchado, Jos Koetsier, Donald MacDonald, Colin Fyfe

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Complexity Pursuit for Financial Prediction.

Ying Han, Colin Fyfe

Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

A New Neural Implementation of Exploratory Projection Pursuit.

Colin Fyfe, Emilio Corchado

Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

Optimal Projections of High Dimensional Data.

Emilio Corchado, Colin Fyfe

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit.

Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi

Proceedings of the Artificial Neural Networks, 2002

Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons.

Darryl Charles, Jos Koetsier, Donald MacDonald, Colin Fyfe

Proceedings of the Artificial Neural Networks, 2002

Clustering in data space and feature space.

Donald MacDonald, Colin Fyfe

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Exploratory Correlation Analysis.

Jos Koetsier, Donald MacDonald, Darryl Charles, Colin Fyfe

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Forecasting using twinned principal curves.

Ying Han, Colin Fyfe

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Maximum likelihood Hebbian rules.

Colin Fyfe, Emilio Corchado

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit.

Emilio Corchado, Colin Fyfe

Proceedings of the Artificial Intelligence and Cognitive Science, 2002

2001

A Family of Canonical Correlation Networks.

Pei Ling Lai, Colin Fyfe

Neural Process. Lett., 2001

Automating the construction of CBR systems using kernel methods.

Colin Fyfe, Juan M. Corchado

Int. J. Intell. Syst., 2001

Sparse Kernel Canonical Correlation Analysis.

L. Tan, Colin Fyfe

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Rectified Gaussian distributions and the formation of local filters from video data.

Emilio Corchado, Darryl Charles, Colin Fyfe

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Unsupervised models for processing visual data.

Darryl Charles, Colin Fyfe

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000

Simultaneous Identification of Face and Orientation.

Pei Ling Lai, Colin Fyfe

Neural Process. Lett., 2000

Kernel and Nonlinear Canonical Correlation Analysis.

Pei Ling Lai, Colin Fyfe

Int. J. Neural Syst., 2000

Unsupervised Extraction of Structural Information from High Dimensional Visual Data.

Stephen McGlinchey, Darryl Charles, Pei Ling Lai, Colin Fyfe

Appl. Intell., 2000

Probability prediction using support vector machines.

Duncan McKay, Colin Fyfe

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Kernel exploratory projection pursuit.

Donald MacDonald, Colin Fyfe, Darryl Charles

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

The kernel self-organising map.

Donald MacDonald, Colin Fyfe

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

A comparison of sparse kernel principal component analysis methods.

Zhen Kun Gon, JunKang Feng, Colin Fyfe

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Kernel Factor Analysis with Varimax Rotation.

Darryl Charles, Colin Fyfe

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A Probabilistic Agent Approach to the Traffic Jam Problem.

Duncan McKay, Colin Fyfe

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

A Gneral Class of Neural Networks for Principal Component Analysis and Factor Analysis.

Ying Han, Colin Fyfe

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

Generalised Canonical Correlation Analysis.

Zhenkun Gou, Colin Fyfe

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

Power Load Forecasting Using Neural Canonical Correlates.

Pei Ling Lai, Shang Jen Chuang, Colin Fyfe

Proceedings of the 15th International Conference on Pattern Recognition, 2000

Canonical Correlation Analysis Neural Networks.

Colin Fyfe, Pei Ling Lai

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

A neural implementation of canonical correlation analysis.

Pei Ling Lai, Colin Fyfe

Neural Networks, 1999

Unsupervised neural method for temperature forecasting.

Juan M. Corchado, Colin Fyfe

Artif. Intell. Eng., 1999

Cooperation in Oligopolies.

Tzai-Der Wang, J. P. Marney, Colin Fyfe

Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999

Data Mining using Unsupervised Neural Networks.

Donald MacDonald, Colin Fyfe

Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999

Dialect and Learned Systems of Communication in Multi-Agent Systems.

Daniel Livingstone, Colin Fyfe

Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999

Learning Independent Causes of a Visual Data Set using the Rectified Gaussian Distribution.

Colin Fyfe, Darryl Charles, Stephen McGlinchey

Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999

Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral data.

Donald MacDonald, Stephen McGlinchey, John Kawala, Colin Fyfe

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Neural networks which identify composite factors.

Donald MacDonald, Darryl Charles, Colin Fyfe

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Trends in Unsupervised Learning.

Colin Fyfe

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Noise to extract independent causes.

Darryl Charles, Colin Fyfe

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Modelling the Evolution of Linguistic Diversity.

Daniel Livingstone, Colin Fyfe

Proceedings of the Advances in Artificial Life, 5th European Conference, 1999

1998

Structured population-based incremental learning.

Colin Fyfe

Soft Comput., 1998

Fast formation of invariant feature maps.

Stephen McGlinchey, Colin Fyfe

Proceedings of the 9th European Signal Processing Conference, 1998

Invariant feature maps for analysis of orientations in image data.

Stephen McGlinchey, Colin Fyfe

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

Canonical correlation analysis using artificial neural networks.

Pei Ling Lai, Colin Fyfe

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

Unsupervised learning for financial forecasting.

Juan M. Corchado, Colin Fyfe, Brian Lees

Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering, 1998

1997

A Neural Network for PCA and Beyond.

Colin Fyfe

Neural Process. Lett., 1997

An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem.

Mark A. Girolami, Colin Fyfe

Neural Networks, 1997

A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit.

Colin Fyfe

Neural Networks, 1997

Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm.

Mark A. Girolami, Colin Fyfe

Int. J. Neural Syst., 1997

Generalised independent component analysis through unsupervised learning with emergent Bussgang properties.

Mark A. Girolami, Colin Fyfe

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Kurtosis extrema and identification of independent components: a neural network approach.

Mark A. Girolami, Colin Fyfe

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Automatic Extraction of Phase and Frequency Information from Raw Voice Data.

Stephen McGlinchey, Colin Fyfe

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis.

Mark Girolami, Colin Fyfe

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

An Unsupervised Neural Method for Time Series Analysis, Characterisation and Prediction.

Colin Fyfe

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

Multi-layered Niche Formation.

Colin Fyfe

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

Independence is far from normal.

Mark A. Girolami, Colin Fyfe

Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

Multivariate Density Factorization for Independent Component Analysis: An Unsupervised Artificial Neural Network Approach.

Mark Girolami, Colin Fyfe

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996

A Temporal Model of Linear Anti-Hebbian Learning.

Mark A. Girolami, Colin Fyfe

Neural Process. Lett., 1996

1995

Negative feedback as an organising principle for artificial neural networks.

Colin Fyfe

PhD thesis, 1995

A general exploratory projection pursuit network.

Colin Fyfe

Neural Process. Lett., 1995

Introducing asymmetry into interneuron learning.

Colin Fyfe

Neural Comput., 1995

Non-linear data structure extraction using simple hebbian networks.

Colin Fyfe, Roland Baddeley

Biol. Cybern., 1995