Colin Fyfe

181 papers A* 1A 1B 36C 27Misc 2Journal 63Unranked 44
YearRankTypeTitle / Venue / Authors
2016 J jnl
Achieving cooperation with many prisoners in the NIPD.
Int. J. Comput. Sci. Eng.
Juan Enrique Agudo, Colin Fyfe
2016 J jnl
Factors important for good visualisation of time series.
Int. J. Comput. Sci. Eng.
Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe
2014 J jnl
Improving Bregman k-means.
Int. J. Data Min. Model. Manag.
Wesam M. Ashour, Colin Fyfe
2013 J jnl
Incorporating visualisation quality measures to curvilinear component analysis.
Inf. Sci.
Jigang Sun, Malcolm K. Crowe, Colin Fyfe
2013 J jnl
Visualising Temporal Data Using Reservoir Computing.
J. Inf. Sci. Eng.
Tzai-Der Wang, Colin Fyfe
2013 J jnl
Whitening central projection descriptor for affine-invariant shape description.
IET Image Process.
Rushi Lan, Jianwei Yang, Yong Jiang, Colin Fyfe, Zhan Song
2012 J jnl
Class imbalance methods for translation initiation site recognition in DNA sequences.
Knowl. Based Syst.
Nicolás García-Pedrajas, Javier Pérez-Rodríguez, María D. García-Pedrajas, Domingo Ortiz-Boyer, Colin Fyfe
2012 B conf
Comparative study of visualisation methods for temporal data.
IEEE Congress on Evolutionary Computation
Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe
2012 J jnl
Dual stream data exploration.
Int. J. Data Min. Model. Manag.
Xi Wang, Malcolm K. Crowe, Colin Fyfe
2012 J jnl
Evolutionary algorithms and cross entropy.
Int. J. Knowl. Based Intell. Eng. Syst.
Colin Fyfe, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
2012 J jnl
Extending Sammon mapping with Bregman divergences.
Inf. Sci.
Jigang Sun, Colin Fyfe, Malcolm K. Crowe
2012 — conf
Reinforcement Programming for function approximation.
UKCI
Salah Rana, Malcolm K. Crowe, Colin Fyfe
2011 J jnl
Extending metric multidimensional scaling with Bregman divergences.
Pattern Recognit.
Jigang Sun, Malcolm K. Crowe, Colin Fyfe
2011 C conf
Minimal Echo State Networks for Visualisation.
CIS
Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe
2011 C conf
Multi-layer Topology Preserving Mapping for K-Means Clustering.
IDEAL
Ying Wu, Thomas K. Doyle, Colin Fyfe
2011 C conf
Reinforcement Learning for the N-Persons Iterated Prisoners' Dilemma.
CIS
Juan Enrique Agudo, Colin Fyfe
2011 C conf
Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks.
ISDA
Sebastián Basterrech, Colin Fyfe, Gerardo Rubino
2011 J jnl
Special issue on the trends in applied intelligence systems.
Appl. Intell.
Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe
2010 — conf
Class Imbalance Methods for Translation Initiation Site Recognition.
IEA/AIE (1)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer, María D. García-Pedrajas, Colin Fyfe
2010 B conf
Curvilinear component analysis and Bregman divergences.
ESANN
Jigang Sun, Colin Fyfe, Malcolm K. Crowe
2010 — conf
Extending Metric Multidimensional Scaling with Bregman Divergences.
IEA/AIE (2)
Jigang Sun, Malcolm K. Crowe, Colin Fyfe
2010 — conf
Independent Component Analysis Using Bregman Divergences.
IEA/AIE (2)
Xi Wang, Colin Fyfe
2010 C ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings
IDEAL
Colin Fyfe, Peter Tiño, Darryl Charles, César Ignacio García-Osorio, Hujun Yin
2010 — conf
Particle Swarm Optimization in Exploratory Data Analysis.
IEA/AIE (2)
Ying Wu, Colin Fyfe
2010 — ed.
Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part I
IEA/AIE (1)
Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali
2010 — ed.
Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part II
IEA/AIE (2)
Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali
2010 — ed.
Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part III
IEA/AIE (3)
Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali
2009 J jnl
Experimental analysis of eligibility traces strategies in temporal difference learning.
Int. J. Knowl. Eng. Soft Data Paradigms
Jinsong Leng, Lakhmi C. Jain, Colin Fyfe
2009 J jnl
Experimental analysis on Sarsa(lambda) and Q(lambda) with different eligibility traces strategies.
J. Intell. Fuzzy Syst.
Jinsong Leng, Colin Fyfe, Lakhmi C. Jain
2009 — conf
Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings.
Similarity-Based Clustering
Colin Fyfe, Wesam Barbakh
2009 — book
Non-Standard Parameter Adaptation for Exploratory Data Analysis
Wesam Barbakh, Ying Wu, Colin Fyfe
2008 J jnl
A stochastic process formulation of learning in cooperative agents.
Multiagent Grid Syst.
Colin Fyfe, Gayle Leen, Lakhmi C. Jain, Steve Thatcher
2008 B conf
A topology preserving mapping for face recognition.
IJCNN
Colin Fyfe, Tseng Wen-Ching, Wu Chia-Ti, Chien Shih-Yu, Pei Ling Lai
2008 — conf
Bregman Divergences and Multi-dimensional Scaling.
ICONIP (2)
Pei Ling Lai, Colin Fyfe
2008 C conf
Bregman Divergences and the Self Organising Map.
IDEAL
Eunsong Jang, Colin Fyfe, Hanseok Ko
2008 J jnl
Construction of classifier ensembles by means of artificial immune systems.
J. Heuristics
Nicolás García-Pedrajas, Colin Fyfe
2008 J jnl
Evolving Output Codes for Multiclass Problems.
IEEE Trans. Evol. Comput.
Nicolás García-Pedrajas, Colin Fyfe
2008 J jnl
Exploratory data analysis with artificial immune systems.
Evol. Intell.
Ying Wu, Colin Fyfe
2008 C conf
Feature Locations in Images.
IDEAL
Hokun Kim, Colin Fyfe, Hanseok Ko
2008 J jnl
Gaussian processes for canonical correlation analysis.
Neurocomputing
Colin Fyfe, Gayle Leen, Pei Ling Lai
2008 C ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2008, 9th International Conference, Daejeon, South Korea, November 2-5, 2008, Proceedings
IDEAL
Colin Fyfe, Dongsup Kim, Soo-Young Lee, Hujun Yin
2008 J jnl
Local vs global interactions in clustering algorithms: Advances over K-means.
Int. J. Knowl. Based Intell. Eng. Syst.
Wesam Barbakh, Colin Fyfe
2008 J jnl
Online Clustering Algorithms.
Int. J. Neural Syst.
Wesam Barbakh, Colin Fyfe
2008 J jnl
Simulation and reinforcement learning with soccer agents.
Multiagent Grid Syst.
Jinsong Leng, Colin Fyfe, Lakhmi C. Jain
2008 — ch.
Topographic Maps for Clustering and Data Visualization.
Computational Intelligence: A Compendium
Colin Fyfe
2008 J jnl
Topological Mappings of Video and Audio Data.
Int. J. Neural Syst.
Colin Fyfe, Wesam Barbakh, Wei Chuang Ooi, Hanseok Ko
2008 J jnl
Two forms of immediate reward reinforcement learning for exploratory data analysis.
Neural Networks
Ying Wu, Colin Fyfe, Pei Ling Lai
2007 C conf
Clustering with Reinforcement Learning.
IDEAL
Wesam Barbakh, Colin Fyfe
2007 C conf
Convergence Analysis on Approximate Reinforcement Learning.
KSEM
Jinsong Leng, Lakhmi C. Jain, Colin Fyfe
2007 B conf
Immediate Reward Reinforcement Learning for Projective Kernel Methods.
ESANN
Colin Fyfe, Pei Ling Lai
2007 J jnl
Immune network based ensembles.
Neurocomputing
Nicolás García-Pedrajas, Colin Fyfe
2007 J jnl
Nonlinear Boosting Projections for Ensemble Construction.
J. Mach. Learn. Res.
Nicolás García-Pedrajas, César Ignacio García-Osorio, Colin Fyfe
2007 — conf
Reinforcement Learning Reward Functions for Unsupervised Learning.
ISNN (1)
Colin Fyfe, Pei Ling Lai
2007 B conf
Reinforcement Learning for Topographic Mappings.
IJCNN
Pei Ling Lai, Colin Fyfe
2007 — conf
Reinforcement Learning of Competitive Skills with Soccer Agents.
KES (1)
Jinsong Leng, Colin Fyfe, Lakhmi C. Jain
2007 — conf
Stochastic Weights Reinforcement Learning for Exploratory Data Analysis.
ICANN (1)
Ying Wu, Colin Fyfe, Pei Ling Lai
2007 — conf
Temporal Difference Control within a Dynamic Environment.
GAMEON
Leo Galway, Darryl Charles, Michaela M. Black, Colin Fyfe
2007 J jnl
Two topographic maps for data visualisation.
Data Min. Knowl. Discov.
Colin Fyfe
2007 C conf
Visualising and Clustering Video Data.
IDEAL
Colin Fyfe, Wei Chuang Ooi, Hanseok Ko
2006 B conf
A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis.
IJCNN
Pei Ling Lai, Gayle Leen, Colin Fyfe
2006 C conf
A Family of Novel Clustering Algorithms.
IDEAL
Wesam Barbakh, Malcolm K. Crowe, Colin Fyfe
2006 B conf
A Gaussian process latent variable model formulation of canonical correlation analysis.
ESANN
Gayle Leen, Colin Fyfe
2006 B conf
A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation.
IJCNN
Pei Ling Lai, Colin Fyfe
2006 — conf
Comparing Gaussian Processes and Artificial Neural Networks for Forecasting.
JCIS
Colin Fyfe, Tzai-Der Wang, Shang Jen Chuang
2006 B conf
Immune Network based Ensembles.
ESANN
Nicolás García-Pedrajas, Colin Fyfe
2006 — conf
Improving Artificial Intelligence In a Motocross Game.
CIG
Benoit Chaperot, Colin Fyfe
2006 C ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings
IDEAL
Emilio Corchado, Hujun Yin, Vicente J. Botti, Colin Fyfe
2006 B conf
Outlier identification with the Harmonic Topographic Mapping.
ESANN
Marian Pena, Colin Fyfe
2006 — conf
Simulation of Cooperation for Price Competition in Oligopolies.
SEAL
Tzai-Der Wang, Colin Fyfe
2006 B conf
Stochastic Processes for Canonical Correlation Analysis.
ESANN
Colin Fyfe, Gayle Leen
2006 J jnl
Teams of intelligent agents which learn using artificial immune systems.
J. Netw. Comput. Appl.
Colin Fyfe, Lakhmi C. Jain
2006 — conf
Teamwork and Simulation in Hybrid Cognitive Architecture.
KES (2)
Jinsong Leng, Colin Fyfe, Lakhmi C. Jain
2006 — conf
The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis.
ICANN (2)
Pei Ling Lai, Gayle Leen, Colin Fyfe
2006 C conf
The Topographic Neural Gas.
IDEAL
Marian Pena, Colin Fyfe
2006 — conf
Twinned Topographic Maps for Decision Making in the Cockpit.
KES (2)
Steve Thatcher, Colin Fyfe
2006 — conf
Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis.
ICONIP (1)
Colin Fyfe, Gayle Leen
2005 — book
Hebbian Learning and Negative Feedback Networks.
Colin Fyfe
2005 — conf
Incrementally Learned Subjectivist Probabilities in Games.
CIG
Colin Fyfe
2005 — conf
Local vs Global Models in Pong.
ICANN (2)
Colin Fyfe
2005 B conf
Phase transition in sparse associative neural networks.
ESANN
Oleksiy Dekhtyarenko, Valery Tereshko, Colin Fyfe
2005 J jnl
Regaining sparsity in kernel principal components.
Neurocomputing
César Ignacio García-Osorio, Colin Fyfe
2005 — conf
The Topographic Product of Experts.
ICANN (1)
Colin Fyfe
2005 J jnl
The combined use of self-organizing maps and andrews' curves.
Int. J. Neural Syst.
César Ignacio García-Osorio, Colin Fyfe
2005 — conf
Training an AI Player to play Pong Using the GTM.
CIG
Gayle Leen, Colin Fyfe
2005 J jnl
Visualization of High-dimensional Data via Orthogonal Curves.
J. Univers. Comput. Sci.
César Ignacio García-Osorio, Colin Fyfe
2004 J jnl
A Gis And Web-Based Decision Support Tool For The Management Of Urban Soils.
Cybern. Syst.
Iain Hossack, Douglas Robertson, Peter Tucker, Andrew Hursthouse, Colin Fyfe
2004 — conf
A Kernel Method for Classification.
MICAI
Donald MacDonald, Jos Koetsier, Emilio Corchado, Colin Fyfe, Juan M. Corchado
2004 J jnl
A canonical correlation neural network for multicollinearity and functional data.
Neural Networks
Zhenkun Gou, Colin Fyfe
2004 C conf
Agent Wars with Artificial Immune Systems.
ICEC
Gayle Leen, Colin Fyfe
2004 B conf
An Intelligent Aircraft Landing Support System.
KES
Steve Thatcher, Lakhmi C. Jain, Colin Fyfe
2004 — conf
Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian Learning.
MICAI
Donald MacDonald, Emilio Corchado, Colin Fyfe
2004 C conf
Development of a Global and Integral Model of Business Management Using an Unsupervised Model.
IDEAL
Emilio Corchado, Colin Fyfe, Lourdes Sáiz Bárcena, Ana María Lara Palma
2004 B conf
Dual Stream Artificial Neural Networks.
KES
Colin Fyfe
2004 J jnl
Dynamic Strategy Creation and Selection Using Artificial Immune Systems.
Int. J. Intell. Games Simul.
Colin Fyfe
2004 J jnl
Forecasting using twinned principal curves and twinned self-organising maps.
Neurocomputing
Ying Han, Emilio Corchado, Colin Fyfe
2004 J jnl
Internet agents who structure concept formation using kernel self-organising maps.
Int. J. Web Eng. Technol.
Emilio Corchado, Donald MacDonald, Colin Fyfe
2004 Misc conf
Kernel Maximum Likelihood Hebbian Learning.
International Conference on Computational Science
Jos Koetsier, Emilio Corchado, Donald MacDonald, Juan M. Corchado, Colin Fyfe
2004 J jnl
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit.
Data Min. Knowl. Discov.
Emilio Corchado, Donald MacDonald, Colin Fyfe
2004 B conf
Non-linear principal components: projection and reconstruction.
IJCNN
Donald MacDonald, Colin Fyfe
2004 C conf
Strategy Selection in Games Using Co-evolution Between Artificial Immune Systems.
ICEC
Donald MacDonald, Colin Fyfe
2004 — conf
Traffic Jams: An Evolutionary Investigation.
IAT
Tzai-Der Wang, Colin Fyfe
2004 J jnl
Twinned principal curves.
Neural Networks
Jos Koetsier, Ying Han, Colin Fyfe
2004 B conf
Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps.
ESANN
César Ignacio García-Osorio, Jesús Maudes, Colin Fyfe
2003 J jnl
An Extension of epsilon-Insensitive Hebbian Learning to Form a Non-Interfering Basis.
Int. J. Comput. Intell. Appl.
Emilio Corchado, Colin Fyfe
2003 J jnl
Connectionist Techniques For The Identification And Suppression Of Interfering Underlying Factors.
Int. J. Pattern Recognit. Artif. Intell.
Emilio Corchado, Colin Fyfe
2003 C conf
Initialising Self-Organising Maps.
IDEAL
Emilio Corchado, Colin Fyfe
2003 C conf
Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR Systems.
ICCBR
Juan M. Corchado, Emilio Corchado, Jim Aiken, Colin Fyfe, Florentino Fernández Riverola, Manuel Gonzalez
2003 — conf
Progressive Concept Formation in Self-Organising Maps.
IWANN (1)
Emilio Corchado, Colin Fyfe
2003 C conf
Relevance and Kernel Self-Organising Maps.
ICANN
Emilio Corchado, Colin Fyfe
2003 J jnl
Structuring global responses of local filters using lateral connections.
J. Exp. Theor. Artif. Intell.
Emilio Corchado, Ying Han, Colin Fyfe
2002 C conf
A New Neural Implementation of Exploratory Projection Pursuit.
IDEAL
Colin Fyfe, Emilio Corchado
2002 J jnl
A comparison of Kernel methods for instantiating case based reasoning systems.
Adv. Eng. Informatics
Colin Fyfe, Juan M. Corchado
2002 — conf
A robust canonical correlation neural network.
NNSP
Zhenkun Gou, Colin Fyfe
2002 — conf
Classification and ICA using maximum likelihood Hebbian learning.
NNSP
Emilio Corchado, Jos Koetsier, Donald MacDonald, Colin Fyfe
2002 B conf
Clustering in data space and feature space.
ESANN
Donald MacDonald, Colin Fyfe
2002 C conf
Complexity Pursuit for Financial Prediction.
IDEAL
Ying Han, Colin Fyfe
2002 B conf
Exploratory Correlation Analysis.
ESANN
Jos Koetsier, Donald MacDonald, Darryl Charles, Colin Fyfe
2002 J jnl
Extraction of Independent Causes Using Lateral Connections.
Int. J. Comput. Intell. Appl.
Emilio Corchado, Colin Fyfe
2002 — conf
Extraction of Visual Information Using Maximum Likelihood Hebbian Learning.
SBRN
Emilio Corchado, Colin Fyfe
2002 J jnl
Finding Underlying Factors in Timeseries.
Cybern. Syst.
Ying Han, Colin Fyfe
2002 B conf
Forecasting using twinned principal curves.
ESANN
Ying Han, Colin Fyfe
2002 J jnl
Guest editorial introduction.
Knowl. Based Syst.
Colin Fyfe, Bogdan Gabrys
2002 — conf
Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit.
AICS
Emilio Corchado, Colin Fyfe
2002 C conf
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit.
ICANN
Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi
2002 B conf
Maximum likelihood Hebbian rules.
ESANN
Colin Fyfe, Emilio Corchado
2002 C conf
Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons.
ICANN
Darryl Charles, Jos Koetsier, Donald MacDonald, Colin Fyfe
2002 A* conf
Optimal Projections of High Dimensional Data.
ICDM
Emilio Corchado, Colin Fyfe
2002 J jnl
Unsupervised neural networks for the identification of minimum overcomplete basis in visual data.
Neurocomputing
Darryl Charles, Colin Fyfe, Donald MacDonald, Jos Koetsier
2002 J jnl
epsilon-insensitive Hebbian learning.
Neurocomputing
Colin Fyfe, Donald MacDonald
2001 J jnl
A Family of Canonical Correlation Networks.
Neural Process. Lett.
Pei Ling Lai, Colin Fyfe
2001 J jnl
Automating the construction of CBR systems using kernel methods.
Int. J. Intell. Syst.
Colin Fyfe, Juan M. Corchado
2001 B conf
Rectified Gaussian distributions and the formation of local filters from video data.
ESANN
Emilio Corchado, Darryl Charles, Colin Fyfe
2001 B conf
Sparse Kernel Canonical Correlation Analysis.
ESANN
L. Tan, Colin Fyfe
2001 B conf
Unsupervised models for processing visual data.
ESANN
Darryl Charles, Colin Fyfe
2000 C conf
A Gneral Class of Neural Networks for Principal Component Analysis and Factor Analysis.
IDEAL
Ying Han, Colin Fyfe
2000 C conf
A Probabilistic Agent Approach to the Traffic Jam Problem.
IDEAL
Duncan McKay, Colin Fyfe
2000 B conf
A comparison of sparse kernel principal component analysis methods.
KES
Zhen Kun Gon, Junkang Feng, Colin Fyfe
2000 B conf
Canonical Correlation Analysis Neural Networks.
ICPR
Colin Fyfe, Pei Ling Lai
2000 C conf
Generalised Canonical Correlation Analysis.
IDEAL
Zhenkun Gou, Colin Fyfe
2000 — conf
Kernel Factor Analysis with Varimax Rotation.
IJCNN (3)
Darryl Charles, Colin Fyfe
2000 — conf
Kernel and Nonlinear Canonical Correlation Analysis.
IJCNN (4)
Pei Ling Lai, Colin Fyfe
2000 J jnl
Kernel and Nonlinear Canonical Correlation Analysis.
Int. J. Neural Syst.
Pei Ling Lai, Colin Fyfe
2000 B conf
Kernel exploratory projection pursuit.
KES
Donald MacDonald, Colin Fyfe, Darryl Charles
2000 B conf
Power Load Forecasting Using Neural Canonical Correlates.
ICPR
Pei Ling Lai, Shang Jen Chuang, Colin Fyfe
2000 B conf
Probability prediction using support vector machines.
KES
Duncan McKay, Colin Fyfe
2000 J jnl
Simultaneous Identification of Face and Orientation.
Neural Process. Lett.
Pei Ling Lai, Colin Fyfe
2000 B conf
The kernel self-organising map.
KES
Donald MacDonald, Colin Fyfe
2000 J jnl
Unsupervised Extraction of Structural Information from High Dimensional Visual Data.
Appl. Intell.
Stephen McGlinchey, Darryl Charles, Pei Ling Lai, Colin Fyfe
1999 J jnl
A neural implementation of canonical correlation analysis.
Neural Networks
Pei Ling Lai, Colin Fyfe
1999 B conf
Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral data.
ESANN
Donald MacDonald, Stephen McGlinchey, John Kawala, Colin Fyfe
1999 — conf
Cooperation in Oligopolies.
IIA/SOCO
Tzai-Der Wang, J. P. Marney, Colin Fyfe
1999 — conf
Data Mining using Unsupervised Neural Networks.
IIA/SOCO
Donald MacDonald, Colin Fyfe
1999 — conf
Dialect and Learned Systems of Communication in Multi-Agent Systems.
IIA/SOCO
Daniel Livingstone, Colin Fyfe
1999 — conf
Learning Independent Causes of a Visual Data Set using the Rectified Gaussian Distribution.
IIA/SOCO
Colin Fyfe, Darryl Charles, Stephen McGlinchey
1999 — conf
Modelling the Evolution of Linguistic Diversity.
ECAL
Daniel Livingstone, Colin Fyfe
1999 B conf
Neural networks which identify composite factors.
ESANN
Donald MacDonald, Darryl Charles, Colin Fyfe
1999 B conf
Noise to extract independent causes.
ESANN
Darryl Charles, Colin Fyfe
1999 B conf
Trends in Unsupervised Learning.
ESANN
Colin Fyfe
1999 J jnl
Unsupervised neural method for temperature forecasting.
Artif. Intell. Eng.
Juan M. Corchado, Colin Fyfe
1998 B conf
Canonical correlation analysis using artificial neural networks.
ESANN
Pei Ling Lai, Colin Fyfe
1998 — conf
Fast formation of invariant feature maps.
EUSIPCO
Stephen McGlinchey, Colin Fyfe
1998 B conf
Invariant feature maps for analysis of orientations in image data.
ESANN
Stephen McGlinchey, Colin Fyfe
1998 J jnl
Structured population-based incremental learning.
Soft Comput.
Colin Fyfe
1998 — conf
Unsupervised learning for financial forecasting.
CIFEr
Juan M. Corchado, Colin Fyfe, Brian Lees
1997 J jnl
A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit.
Neural Networks
Colin Fyfe
1997 J jnl
A Neural Network for PCA and Beyond.
Neural Process. Lett.
Colin Fyfe
1997 — conf
An Unsupervised Neural Method for Time Series Analysis, Characterisation and Prediction.
ICANNGA
Colin Fyfe
1997 J jnl
An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem.
Neural Networks
Mark A. Girolami, Colin Fyfe
1997 — conf
Automatic Extraction of Phase and Frequency Information from Raw Voice Data.
ICANNGA
Stephen McGlinchey, Colin Fyfe
1997 — conf
Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis.
ICANNGA
Mark Girolami, Colin Fyfe
1997 — conf
Generalised independent component analysis through unsupervised learning with emergent Bussgang properties.
ICNN
Mark A. Girolami, Colin Fyfe
1997 B conf
Independence is far from normal.
ESANN
Mark A. Girolami, Colin Fyfe
1997 Misc conf
Kurtosis extrema and identification of independent components: a neural network approach.
ICASSP
Mark A. Girolami, Colin Fyfe
1997 — conf
Multi-layered Niche Formation.
ICANNGA
Colin Fyfe
1997 A conf
Multivariate Density Factorization for Independent Component Analysis: An Unsupervised Artificial Neural Network Approach.
AISTATS
Mark Girolami, Colin Fyfe
1997 J jnl
Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm.
Int. J. Neural Syst.
Mark A. Girolami, Colin Fyfe
1996 J jnl
A Temporal Model of Linear Anti-Hebbian Learning.
Neural Process. Lett.
Mark A. Girolami, Colin Fyfe
1995 J jnl
A general exploratory projection pursuit network.
Neural Process. Lett.
Colin Fyfe
1995 J jnl
Introducing asymmetry into interneuron learning.
Neural Comput.
Colin Fyfe
1995 — —
Negative feedback as an organising principle for artificial neural networks.
Colin Fyfe
1995 J jnl
Non-linear data structure extraction using simple hebbian networks.
Biol. Cybern.
Colin Fyfe, Roland Baddeley