Colin Fyfe

According to our database1, Colin Fyfe authored at least 171 papers between 1995 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2016
Factors important for good visualisation of time series.
Int. J. Comput. Sci. Eng., 2016

Achieving cooperation with many prisoners in the NIPD.
Int. J. Comput. Sci. Eng., 2016

2014
Improving Bregman k-means.
Int. J. Data Min. Model. Manag., 2014

2013
Visualising Temporal Data Using Reservoir Computing.
J. Inf. Sci. Eng., 2013

Incorporating visualisation quality measures to curvilinear component analysis.
Inf. Sci., 2013

Whitening central projection descriptor for affine-invariant shape description.
IET Image Process., 2013

2012
Evolutionary algorithms and cross entropy.
Int. J. Knowl. Based Intell. Eng. Syst., 2012

Class imbalance methods for translation initiation site recognition in DNA sequences.
Knowl. Based Syst., 2012

Extending Sammon mapping with Bregman divergences.
Inf. Sci., 2012

Dual stream data exploration.
Int. J. Data Min. Model. Manag., 2012

Reinforcement Programming for function approximation.
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012

Comparative study of visualisation methods for temporal data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Extending metric multidimensional scaling with Bregman divergences.
Pattern Recognit., 2011

Special issue on the trends in applied intelligence systems.
Appl. Intell., 2011

Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Multi-layer Topology Preserving Mapping for K-Means Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Minimal Echo State Networks for Visualisation.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

Reinforcement Learning for the N-Persons Iterated Prisoners' Dilemma.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010
Particle Swarm Optimization in Exploratory Data Analysis.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Independent Component Analysis Using Bregman Divergences.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Class Imbalance Methods for Translation Initiation Site Recognition.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Curvilinear component analysis and Bregman divergences.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Non-Standard Parameter Adaptation for Exploratory Data Analysis
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.
J. Intell. Fuzzy Syst., 2009

Experimental analysis of eligibility traces strategies in temporal difference learning.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings.
Proceedings of the Similarity-Based Clustering, 2009

2008
Topographic Maps for Clustering and Data Visualization.
Proceedings of the Computational Intelligence: A Compendium, 2008

Evolving Output Codes for Multiclass Problems.
IEEE Trans. Evol. Comput., 2008

Two forms of immediate reward reinforcement learning for exploratory data analysis.
Neural Networks, 2008

Simulation and reinforcement learning with soccer agents.
Multiagent Grid Syst., 2008

A stochastic process formulation of learning in cooperative agents.
Multiagent Grid Syst., 2008

Local vs global interactions in clustering algorithms: Advances over K-means.
Int. J. Knowl. Based Intell. Eng. Syst., 2008

Gaussian processes for canonical correlation analysis.
Neurocomputing, 2008

Topological Mappings of Video and Audio Data.
Int. J. Neural Syst., 2008

Online Clustering Algorithms.
Int. J. Neural Syst., 2008

Construction of classifier ensembles by means of artificial immune systems.
J. Heuristics, 2008

Exploratory data analysis with artificial immune systems.
Evol. Intell., 2008

A topology preserving mapping for face recognition.
Proceedings of the International Joint Conference on Neural Networks, 2008

Feature Locations in Images.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Bregman Divergences and the Self Organising Map.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Bregman Divergences and Multi-dimensional Scaling.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007
Nonlinear Boosting Projections for Ensemble Construction.
J. Mach. Learn. Res., 2007

Immune network based ensembles.
Neurocomputing, 2007

Two topographic maps for data visualisation.
Data Min. Knowl. Discov., 2007

Convergence Analysis on Approximate Reinforcement Learning.
Proceedings of the Knowledge Science, 2007

Reinforcement Learning of Competitive Skills with Soccer Agents.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Reinforcement Learning Reward Functions for Unsupervised Learning.
Proceedings of the Advances in Neural Networks, 2007

Reinforcement Learning for Topographic Mappings.
Proceedings of the International Joint Conference on Neural Networks, 2007

Visualising and Clustering Video Data.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Clustering with Reinforcement Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Stochastic Weights Reinforcement Learning for Exploratory Data Analysis.
Proceedings of the Artificial Neural Networks, 2007

Temporal Difference Control within a Dynamic Environment.
Proceedings of the GAMEON'2007, 2007

Immediate Reward Reinforcement Learning for Projective Kernel Methods.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Teams of intelligent agents which learn using artificial immune systems.
J. Netw. Comput. Appl., 2006

Simulation of Cooperation for Price Competition in Oligopolies.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Twinned Topographic Maps for Decision Making in the Cockpit.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Teamwork and Simulation in Hybrid Cognitive Architecture.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Comparing Gaussian Processes and Artificial Neural Networks for Forecasting.
Proceedings of the 2006 Joint Conference on Information Sciences, 2006

A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation.
Proceedings of the International Joint Conference on Neural Networks, 2006

The Topographic Neural Gas.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A Family of Novel Clustering Algorithms.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis.
Proceedings of the Artificial Neural Networks, 2006

Outlier identification with the Harmonic Topographic Mapping.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

A Gaussian process latent variable model formulation of canonical correlation analysis.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Stochastic Processes for Canonical Correlation Analysis.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Improving Artificial Intelligence In a Motocross Game.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG06), 2006

2005
Hebbian Learning and Negative Feedback Networks.
Advanced Information and Knowledge Processing, Springer, ISBN: 978-1-84628-118-1, 2005

Visualization of High-dimensional Data via Orthogonal Curves.
J. Univers. Comput. Sci., 2005

Regaining sparsity in kernel principal components.
Neurocomputing, 2005

The combined use of self-organizing maps and andrews' curves.
Int. J. Neural Syst., 2005

The Topographic Product of Experts.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Local vs Global Models in Pong.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Phase transition in sparse associative neural networks.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Training an AI Player to play Pong Using the GTM.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence and Games (CIG05), 2005

Incrementally Learned Subjectivist Probabilities in Games.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence and Games (CIG05), 2005

2004
Twinned principal curves.
Neural Networks, 2004

A canonical correlation neural network for multicollinearity and functional data.
Neural Networks, 2004

Internet agents who structure concept formation using kernel self-organising maps.
Int. J. Web Eng. Technol., 2004

Forecasting using twinned principal curves and twinned self-organising maps.
Neurocomputing, 2004

Dynamic Strategy Creation and Selection Using Artificial Immune Systems.
Int. J. Intell. Games Simul., 2004

Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit.
Data Min. Knowl. Discov., 2004

A Gis And Web-Based Decision Support Tool For The Management Of Urban Soils.
Cybern. Syst., 2004

A Kernel Method for Classification.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian Learning.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

An Intelligent Aircraft Landing Support System.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Dual Stream Artificial Neural Networks.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Strategy Selection in Games Using Co-evolution Between Artificial Immune Systems.
Proceedings of the Entertainment Computing, 2004

Agent Wars with Artificial Immune Systems.
Proceedings of the Entertainment Computing, 2004

Development of a Global and Integral Model of Business Management Using an Unsupervised Model.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Kernel Maximum Likelihood Hebbian Learning.
Proceedings of the Computational Science, 2004

Traffic Jams: An Evolutionary Investigation.
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.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
Structuring global responses of local filters using lateral connections.
J. Exp. Theor. Artif. Intell., 2003

Connectionist Techniques For The Identification And Suppression Of Interfering Underlying Factors.
Int. J. Pattern Recognit. Artif. Intell., 2003

An Extension of epsilon-Insensitive Hebbian Learning to Form a Non-Interfering Basis.
Int. J. Comput. Intell. Appl., 2003

Progressive Concept Formation in Self-Organising Maps.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Initialising Self-Organising Maps.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR Systems.
Proceedings of the Case-Based Reasoning Research and Development, 2003

Relevance and Kernel Self-Organising Maps.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Guest editorial introduction.
Knowl. Based Syst., 2002

epsilon-insensitive Hebbian learning.
Neurocomputing, 2002

Unsupervised neural networks for the identification of minimum overcomplete basis in visual data.
Neurocomputing, 2002

Extraction of Independent Causes Using Lateral Connections.
Int. J. Comput. Intell. Appl., 2002

Finding Underlying Factors in Timeseries.
Cybern. Syst., 2002

A comparison of Kernel methods for instantiating case based reasoning systems.
Adv. Eng. Informatics, 2002

Extraction of Visual Information Using Maximum Likelihood Hebbian Learning.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

A robust canonical correlation neural network.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Classification and ICA using maximum likelihood Hebbian learning.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Complexity Pursuit for Financial Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

A New Neural Implementation of Exploratory Projection Pursuit.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

Optimal Projections of High Dimensional Data.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit.
Proceedings of the Artificial Neural Networks, 2002

Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons.
Proceedings of the Artificial Neural Networks, 2002

Clustering in data space and feature space.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Exploratory Correlation Analysis.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Forecasting using twinned principal curves.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Maximum likelihood Hebbian rules.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit.
Proceedings of the Artificial Intelligence and Cognitive Science, 2002

2001
A Family of Canonical Correlation Networks.
Neural Process. Lett., 2001

Automating the construction of CBR systems using kernel methods.
Int. J. Intell. Syst., 2001

Sparse Kernel Canonical Correlation Analysis.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Rectified Gaussian distributions and the formation of local filters from video data.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Unsupervised models for processing visual data.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000
Simultaneous Identification of Face and Orientation.
Neural Process. Lett., 2000

Kernel and Nonlinear Canonical Correlation Analysis.
Int. J. Neural Syst., 2000

Unsupervised Extraction of Structural Information from High Dimensional Visual Data.
Appl. Intell., 2000

Probability prediction using support vector machines.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Kernel exploratory projection pursuit.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

The kernel self-organising map.
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.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Kernel Factor Analysis with Varimax Rotation.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A Probabilistic Agent Approach to the Traffic Jam Problem.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

A Gneral Class of Neural Networks for Principal Component Analysis and Factor Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

Generalised Canonical Correlation Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

Power Load Forecasting Using Neural Canonical Correlates.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Canonical Correlation Analysis Neural Networks.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
A neural implementation of canonical correlation analysis.
Neural Networks, 1999

Unsupervised neural method for temperature forecasting.
Artif. Intell. Eng., 1999

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

Data Mining using Unsupervised Neural Networks.
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.
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.
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.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Neural networks which identify composite factors.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Trends in Unsupervised Learning.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Noise to extract independent causes.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Modelling the Evolution of Linguistic Diversity.
Proceedings of the Advances in Artificial Life, 5th European Conference, 1999

1998
Structured population-based incremental learning.
Soft Comput., 1998

Fast formation of invariant feature maps.
Proceedings of the 9th European Signal Processing Conference, 1998

Invariant feature maps for analysis of orientations in image data.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

Canonical correlation analysis using artificial neural networks.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

Unsupervised learning for financial forecasting.
Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering, 1998

1997
A Neural Network for PCA and Beyond.
Neural Process. Lett., 1997

An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem.
Neural Networks, 1997

A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit.
Neural Networks, 1997

Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm.
Int. J. Neural Syst., 1997

Generalised independent component analysis through unsupervised learning with emergent Bussgang properties.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Kurtosis extrema and identification of independent components: a neural network approach.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Automatic Extraction of Phase and Frequency Information from Raw Voice Data.
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.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

An Unsupervised Neural Method for Time Series Analysis, Characterisation and Prediction.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

Multi-layered Niche Formation.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

Independence is far from normal.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

Multivariate Density Factorization for Independent Component Analysis: An Unsupervised Artificial Neural Network Approach.
Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996
A Temporal Model of Linear Anti-Hebbian Learning.
Neural Process. Lett., 1996

1995
Negative feedback as an organising principle for artificial neural networks.
PhD thesis, 1995

A general exploratory projection pursuit network.
Neural Process. Lett., 1995

Introducing asymmetry into interneuron learning.
Neural Comput., 1995

Non-linear data structure extraction using simple hebbian networks.
Biol. Cybern., 1995


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