Colin Fyfe

Jigang Sun, Malcolm Crowe, Colin Fyfe: Incorporating visualisation quality measures to curvilinear component analysis. Inf. Sci. 223: 75-101 (2013)

Xi Wang, Malcolm Crowe, Colin Fyfe: Dual stream data exploration. IJDMMM 4(2): 188-202 (2012)

Jigang Sun, Colin Fyfe, Malcolm Crowe: Extending Sammon mapping with Bregman divergences. Inf. Sci. 187: 72-92 (2012)

Nicolás García-Pedrajas, Javier Pérez-Rodríguez, María D. García-Pedrajas, Domingo Ortiz-Boyer, Colin Fyfe: Class imbalance methods for translation initiation site recognition in DNA sequences. Knowl.-Based Syst. 25(1): 22-34 (2012)

Colin Fyfe, Domingo Ortiz-Boyer, Nicolás García-Pedrajas: Evolutionary algorithms and cross entropy. KES Journal 16(4): 215-221 (2012)

Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe: Comparative study of visualisation methods for temporal data. IEEE Congress on Evolutionary Computation 2012: 1-5

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe: Special issue on the trends in applied intelligence systems. Appl. Intell. 34(3): 329-330 (2011)

Jigang Sun, Malcolm Crowe, Colin Fyfe: Extending metric multidimensional scaling with Bregman divergences. Pattern Recognition 44(5): 1137-1154 (2011)

Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe: Minimal Echo State Networks for Visualisation. CIS 2011: 381-385

Juan Enrique Agudo, Colin Fyfe: Reinforcement Learning for the N-Persons Iterated Prisoners' Dilemma. CIS 2011: 472-476

Ying Wu, Thomas K. Doyle, Colin Fyfe: Multi-layer Topology Preserving Mapping for K-Means Clustering. IDEAL 2011: 84-91

Sebastián Basterrech, Colin Fyfe, Gerardo Rubino: Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks. ISDA 2011: 94-99

Jigang Sun, Colin Fyfe, Malcolm Crowe: Curvilinear component analysis and Bregman divergences. ESANN 2010

Ying Wu, Colin Fyfe: Particle Swarm Optimization in Exploratory Data Analysis. IEA/AIE (2) 2010: 257-266

Nicolás García-Pedrajas, Domingo Ortiz-Boyer, María D. García-Pedrajas, Colin Fyfe: Class Imbalance Methods for Translation Initiation Site Recognition. IEA/AIE (1) 2010: 327-336

Jigang Sun, Malcolm Crowe, Colin Fyfe: Extending Metric Multidimensional Scaling with Bregman Divergences. IEA/AIE (2) 2010: 615-626

Xi Wang, Colin Fyfe: Independent Component Analysis Using Bregman Divergences. IEA/AIE (2) 2010: 627-636

Colin Fyfe, Peter Tiño, Darryl Charles, Cesar García-Osorio, Hujun Yin (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings. Lecture Notes in Computer Science 6283, Springer 2010, isbn 978-3-642-15380-8

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali (Eds.): 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. Lecture Notes in Computer Science 6096, Springer 2010, isbn 978-3-642-13021-2

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali (Eds.): 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. Lecture Notes in Computer Science 6097, Springer 2010, isbn 978-3-642-13024-3

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali (Eds.): 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. Lecture Notes in Computer Science 6098, Springer 2010, isbn 978-3-642-13032-8

Wesam Barbakh, Ying Wu, Colin Fyfe: Non-Standard Parameter Adaptation for Exploratory Data Analysis. Studies in Computational Intelligence 249, Springer 2009, isbn 978-3-642-04004-7

Jinsong Leng, Lakhmi C. Jain, Colin Fyfe: Experimental analysis of eligibility traces strategies in temporal difference learning. IJKESDP 1(1): 26-39 (2009)

Jinsong Leng, Colin Fyfe, Lakhmi C. Jain: Experimental analysis on Sarsa(lambda) and Q(lambda) with different eligibility traces strategies. Journal of Intelligent and Fuzzy Systems 20(1-2): 73-82 (2009)

Colin Fyfe, Wesam Barbakh: Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings. Similarity-Based Clustering 2009: 35-51

Ying Wu, Colin Fyfe: Exploratory data analysis with artificial immune systems. Evolutionary Intelligence 1(2): 159-169 (2008)

Nicolás García-Pedrajas, Colin Fyfe: Construction of classifier ensembles by means of artificial immune systems. J. Heuristics 14(3): 285-310 (2008)

Wesam Barbakh, Colin Fyfe: Online Clustering Algorithms. Int. J. Neural Syst. 18(3): 185-194 (2008)

Colin Fyfe, Wesam Barbakh, Wei Chuang Ooi, Hanseok Ko: Topological Mappings of Video and Audio Data. Int. J. Neural Syst. 18(6): 481-489 (2008)

Wesam Barbakh, Colin Fyfe: Local vs global interactions in clustering algorithms: Advances over K-means. KES Journal 12(2): 83-99 (2008)

Colin Fyfe, Gayle Leen, Lakhmi C. Jain, Steve Thatcher: A stochastic process formulation of learning in cooperative agents. Multiagent and Grid Systems 4(4): 401-414 (2008)

Jinsong Leng, Colin Fyfe, Lakhmi C. Jain: Simulation and reinforcement learning with soccer agents. Multiagent and Grid Systems 4(4): 415-436 (2008)

Ying Wu, Colin Fyfe, Pei Ling Lai: Two forms of immediate reward reinforcement learning for exploratory data analysis. Neural Networks 21(6): 847-855 (2008)

Nicolás García-Pedrajas, Colin Fyfe: Evolving Output Codes for Multiclass Problems. IEEE Trans. Evolutionary Computation 12(1): 93-106 (2008)

Pei Ling Lai, Colin Fyfe: Bregman Divergences and Multi-dimensional Scaling. ICONIP (2) 2008: 935-942

Eunsong Jang, Colin Fyfe, Hanseok Ko: Bregman Divergences and the Self Organising Map. IDEAL 2008: 452-458

Hokun Kim, Colin Fyfe, Hanseok Ko: Feature Locations in Images. IDEAL 2008: 459-463

Colin Fyfe, Tseng Wen-Ching, Wu Chia-Ti, Chien Shih-Yu, Pei Ling Lai: A topology preserving mapping for face recognition. IJCNN 2008: 1964-1968

Colin Fyfe: Topographic Maps for Clustering and Data Visualization. Computational Intelligence: A Compendium 2008: 111-153

Colin Fyfe, Dongsup Kim, Soo-Young Lee, Hujun Yin (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2008, 9th International Conference, Daejeon, South Korea, November 2-5, 2008, Proceedings. Lecture Notes in Computer Science 5326, Springer 2008, isbn 978-3-540-88905-2

Colin Fyfe: Two topographic maps for data visualisation. Data Min. Knowl. Discov. 14(2): 207-224 (2007)

Nicolás García-Pedrajas, Colin Fyfe: Immune network based ensembles. Neurocomputing 70(7-9): 1155-1166 (2007)

Nicolás García-Pedrajas, Cesar García-Osorio, Colin Fyfe: Nonlinear Boosting Projections for Ensemble Construction. Journal of Machine Learning Research 8: 1-33 (2007)

Colin Fyfe, Pei Ling Lai: Immediate Reward Reinforcement Learning for Projective Kernel Methods. ESANN 2007: 307-312

Leo Galway, Darryl Charles, Michaela M. Black, Colin Fyfe: Temporal Difference Control within a Dynamic Environment. GAMEON 2007: 42-47

Ying Wu, Colin Fyfe, Pei Ling Lai: Stochastic Weights Reinforcement Learning for Exploratory Data Analysis. ICANN (1) 2007: 668-676

Colin Fyfe, Wei Chuang Ooi, Hanseok Ko: Visualising and Clustering Video Data. IDEAL 2007: 335-344

Wesam Barbakh, Colin Fyfe: Clustering with Reinforcement Learning. IDEAL 2007: 507-516

Pei Ling Lai, Colin Fyfe: Reinforcement Learning for Topographic Mappings. IJCNN 2007: 1354-1359

Colin Fyfe, Pei Ling Lai: Reinforcement Learning Reward Functions for Unsupervised Learning. ISNN (1) 2007: 397-402

Jinsong Leng, Colin Fyfe, Lakhmi C. Jain: Reinforcement Learning of Competitive Skills with Soccer Agents. KES (1) 2007: 572-579

Jinsong Leng, Lakhmi C. Jain, Colin Fyfe: Convergence Analysis on Approximate Reinforcement Learning. KSEM 2007: 85-91

Colin Fyfe, Lakhmi C. Jain: Teams of intelligent agents which learn using artificial immune systems. J. Network and Computer Applications 29(2-3): 147-159 (2006)

Benoit Chaperot, Colin Fyfe: Improving Artificial Intelligence In a Motocross Game. CIG 2006: 181-186

Colin Fyfe, Gayle Leen: Stochastic Processes for Canonical Correlation Analysis. ESANN 2006: 245-250

Marian Pena, Colin Fyfe: Outlier identification with the Harmonic Topographic Mapping. ESANN 2006: 289-294

Gayle Leen, Colin Fyfe: A Gaussian process latent variable model formulation of canonical correlation analysis. ESANN 2006: 413-418

Nicolás García-Pedrajas, Colin Fyfe: Immune Network based Ensembles. ESANN 2006: 437-442

Pei Ling Lai, Gayle Leen, Colin Fyfe: The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis. ICANN (2) 2006: 302-310

Colin Fyfe, Gayle Leen: Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis. ICONIP (1) 2006: 361-370

Marian Pena, Colin Fyfe: The Topographic Neural Gas. IDEAL 2006: 241-248

Wesam Barbakh, Malcolm Crowe, Colin Fyfe: A Family of Novel Clustering Algorithms. IDEAL 2006: 283-290

Pei Ling Lai, Gayle Leen, Colin Fyfe: A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis. IJCNN 2006: 1073-1077

Pei Ling Lai, Colin Fyfe: A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation. IJCNN 2006: 1143-1149

Colin Fyfe, Tzai-Der Wang, Shang Jen Chuang: Comparing Gaussian Processes and Artificial Neural Networks for Forecasting. JCIS 2006

Jinsong Leng, Colin Fyfe, Lakhmi C. Jain: Teamwork and Simulation in Hybrid Cognitive Architecture. KES (2) 2006: 472-478

Steve Thatcher, Colin Fyfe: Twinned Topographic Maps for Decision Making in the Cockpit. KES (2) 2006: 508-514

Tzai-Der Wang, Colin Fyfe: Simulation of Cooperation for Price Competition in Oligopolies. SEAL 2006: 718-725

Emilio Corchado, Hujun Yin, Vicente J. Botti, Colin Fyfe (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings. Lecture Notes in Computer Science 4224, Springer 2006, isbn 3-540-45485-3

Cesar García-Osorio, Colin Fyfe: The combined use of self-organizing maps and andrews' curves. Int. J. Neural Syst. 15(3): 197-206 (2005)

Cesar García-Osorio, Colin Fyfe: Regaining sparsity in kernel principal components. Neurocomputing 67: 398-402 (2005)

Cesar García-Osorio, Colin Fyfe: Visualization of High-dimensional Data via Orthogonal Curves. J. UCS 11(11): 1806-1819 (2005)

Colin Fyfe: Incrementally Learned Subjectivist Probabilities in Games. CIG 2005

Gayle Leen, Colin Fyfe: Training an AI Player to play Pong Using the GTM. CIG 2005

Oleksiy Dekhtyarenko, Valery Tereshko, Colin Fyfe: Phase transition in sparse associative neural networks. ESANN 2005: 387-392

Colin Fyfe: The Topographic Product of Experts. ICANN (1) 2005: 397-402

Colin Fyfe: Local vs Global Models in Pong. ICANN (2) 2005: 975-980

Iain Hossack, Douglas Robertson, Peter Tucker, Andrew Hursthouse, Colin Fyfe: A Gis And Web-Based Decision Support Tool For The Management Of Urban Soils. Cybernetics and Systems 35(4): 499-509 (2004)

Emilio Corchado, Donald MacDonald, Colin Fyfe: Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. Data Min. Knowl. Discov. 8(3): 203-225 (2004)

Colin Fyfe: Dynamic Strategy Creation and Selection Using Artificial Immune Systems. Int. J. Intell. Games & Simulation 3(1): 1-6 (2004)

Ying Han, Emilio Corchado, Colin Fyfe: Forecasting using twinned principal curves and twinned self-organising maps. Neurocomputing 57: 37-47 (2004)

Emilio Corchado, Donald MacDonald, Colin Fyfe: Internet agents who structure concept formation using kernel self-organising maps. Int. J. Web Eng. Technol. 1(4): 427-436 (2004)

Zhenkun Gou, Colin Fyfe: A canonical correlation neural network for multicollinearity and functional data. Neural Networks 17(2): 285-293 (2004)

Jos Koetsier, Ying Han, Colin Fyfe: Twinned principal curves. Neural Networks 17(3): 399-409 (2004)

Cesar García-Osorio, Jesús Maudes, Colin Fyfe: Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps. ESANN 2004: 477-482

Tzai-Der Wang, Colin Fyfe: Traffic Jams: An Evolutionary Investigation. IAT 2004: 381-384

Jos Koetsier, Emilio Corchado, Donald MacDonald, Juan M. Corchado, Colin Fyfe: Kernel Maximum Likelihood Hebbian Learning. International Conference on Computational Science 2004: 650-653

Emilio Corchado, Colin Fyfe, Lourdes Sáiz Bárcena, Ana María Lara Palma: Development of a Global and Integral Model of Business Management Using an Unsupervised Model. IDEAL 2004: 499-504

Gayle Leen, Colin Fyfe: Agent Wars with Artificial Immune Systems. ICEC 2004: 420-428

Donald MacDonald, Colin Fyfe: Strategy Selection in Games Using Co-evolution Between Artificial Immune Systems. ICEC 2004: 445-450

Colin Fyfe: Dual Stream Artificial Neural Networks. KES 2004: 16-17

Steve Thatcher, Lakhmi C. Jain, Colin Fyfe: An Intelligent Aircraft Landing Support System. KES 2004: 74-79

Donald MacDonald, Emilio Corchado, Colin Fyfe: Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian Learning. MICAI 2004: 282-291

Donald MacDonald, Jos Koetsier, Emilio Corchado, Colin Fyfe, Juan M. Corchado: A Kernel Method for Classification. MICAI 2004: 823-832

Emilio Corchado, Colin Fyfe: An Extension of epsilon-Insensitive Hebbian Learning to Form a Non-Interfering Basis. International Journal of Computational Intelligence and Applications 3(3): 281-296 (2003)

Emilio Corchado, Colin Fyfe: Connectionist Techniques For The Identification And Suppression Of Interfering Underlying Factors. IJPRAI 17(8): 1447-1466 (2003)

Emilio Corchado, Ying Han, Colin Fyfe: Structuring global responses of local filters using lateral connections. J. Exp. Theor. Artif. Intell. 15(4): 473-487 (2003)

Emilio Corchado, Colin Fyfe: Relevance and Kernel Self-Organising Maps. ICANN 2003: 280-290

Juan M. Corchado, Emilio Corchado, Jim Aiken, Colin Fyfe, Florentino Fernández Riverola, Manuel Gonzalez: Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR Systems. ICCBR 2003: 107-121

Emilio Corchado, Colin Fyfe: Initialising Self-Organising Maps. IDEAL 2003: 161-168

Emilio Corchado, Colin Fyfe: Progressive Concept Formation in Self-Organising Maps. IWANN (1) 2003: 326-333

Colin Fyfe, Juan M. Corchado: A comparison of Kernel methods for instantiating case based reasoning systems. Advanced Engineering Informatics 16(3): 165-178 (2002)

Ying Han, Colin Fyfe: Finding Underlying Factors in Timeseries. Cybernetics and Systems 33(4): 297-323 (2002)

Emilio Corchado, Colin Fyfe: Extraction of Independent Causes Using Lateral Connections. International Journal of Computational Intelligence and Applications 2(2): 115-130 (2002)

Colin Fyfe, Donald MacDonald: epsilon-insensitive Hebbian learning. Neurocomputing 47(1-4): 35-57 (2002)

Darryl Charles, Colin Fyfe, Donald MacDonald, Jos Koetsier: Unsupervised neural networks for the identification of minimum overcomplete basis in visual data. Neurocomputing 47(1-4): 119-143 (2002)

Colin Fyfe, Bogdan Gabrys: Guest editorial introduction. Knowl.-Based Syst. 15(1-2): 1-2 (2002)

Emilio Corchado, Colin Fyfe: Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit. AICS 2002: 150-157

Donald MacDonald, Colin Fyfe: Clustering in data space and feature space. ESANN 2002: 137-142

Colin Fyfe, Emilio Corchado: Maximum likelihood Hebbian rules. ESANN 2002: 143-148

Ying Han, Colin Fyfe: Forecasting using twinned principal curves. ESANN 2002: 471-476

Jos Koetsier, Donald MacDonald, Darryl Charles, Colin Fyfe: Exploratory Correlation Analysis. ESANN 2002: 483-488

Darryl Charles, Jos Koetsier, Donald MacDonald, Colin Fyfe: Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons. ICANN 2002: 210-215

Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi: Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. ICANN 2002: 649-654

Emilio Corchado, Colin Fyfe: Optimal Projections of High Dimensional Data. ICDM 2002: 589-596

Ying Han, Colin Fyfe: Complexity Pursuit for Financial Prediction. IDEAL 2002: 397-402

Colin Fyfe, Emilio Corchado: A New Neural Implementation of Exploratory Projection Pursuit. IDEAL 2002: 512-517

Emilio Corchado, Colin Fyfe: Extraction of Visual Information Using Maximum Likelihood Hebbian Learning. SBRN 2002: 227-233

Colin Fyfe, Juan M. Corchado: Automating the construction of CBR systems using kernel methods. Int. J. Intell. Syst. 16(4): 571-586 (2001)

Pei Ling Lai, Colin Fyfe: A Family of Canonical Correlation Networks. Neural Processing Letters 14(2): 93-105 (2001)

Darryl Charles, Colin Fyfe: Unsupervised models for processing visual data. ESANN 2001: 301-308

L. Tan, Colin Fyfe: Sparse Kernel Canonical Correlation Analysis. ESANN 2001: 335-340

Emilio Corchado, Darryl Charles, Colin Fyfe: Rectified Gaussian distributions and the formation of local filters from video data. ESANN 2001: 397-402

Stephen McGlinchey, Darryl Charles, Pei Ling Lai, Colin Fyfe: Unsupervised Extraction of Structural Information from High Dimensional Visual Data. Appl. Intell. 12(1-2): 63-74 (2000)

Pei Ling Lai, Colin Fyfe: Kernel and Nonlinear Canonical Correlation Analysis. Int. J. Neural Syst. 10(5): 365-377 (2000)

Pei Ling Lai, Colin Fyfe: Simultaneous Identification of Face and Orientation. Neural Processing Letters 12(1): 33-40 (2000)

Pei Ling Lai, Shang Jen Chuang, Colin Fyfe: Power Load Forecasting Using Neural Canonical Correlates. ICPR 2000: 2455-2458

Colin Fyfe, Pei Ling Lai: Canonical Correlation Analysis Neural Networks. ICPR 2000: 2977-2980

Ying Han, Colin Fyfe: A Gneral Class of Neural Networks for Principal Component Analysis and Factor Analysis. IDEAL 2000: 158-163

Zhenkun Gou, Colin Fyfe: Generalised Canonical Correlation Analysis. IDEAL 2000: 164-173

Duncan McKay, Colin Fyfe: A Probabilistic Agent Approach to the Traffic Jam Problem. IDEAL 2000: 332-337

Darryl Charles, Colin Fyfe: Kernel Factor Analysis with Varimax Rotation. IJCNN (3) 2000: 381-386

Pei Ling Lai, Colin Fyfe: Kernel and Nonlinear Canonical Correlation Analysis. IJCNN (4) 2000: 614

Duncan McKay, Colin Fyfe: Probability prediction using support vector machines. KES 2000: 189-192

Donald MacDonald, Colin Fyfe, Darryl Charles: Kernel exploratory projection pursuit. KES 2000: 193-196

Zhen Kun Gon, JunKang Feng, Colin Fyfe: A comparison of sparse kernel principal component analysis methods. KES 2000: 309-312

Donald MacDonald, Colin Fyfe: The kernel self-organising map. KES 2000: 317-320

Juan M. Corchado, Colin Fyfe: Unsupervised neural method for temperature forecasting. AI in Engineering 13(4): 351-357 (1999)

Pei Ling Lai, Colin Fyfe: A neural implementation of canonical correlation analysis. Neural Networks 12(10): 1391-1397 (1999)

Daniel Livingstone, Colin Fyfe: Modelling the Evolution of Linguistic Diversity. ECAL 1999: 704-708

Donald MacDonald, Stephen McGlinchey, John Kawala, Colin Fyfe: Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral data. ESANN 1999: 117-122

Donald MacDonald, Darryl Charles, Colin Fyfe: Neural networks which identify composite factors. ESANN 1999: 281-288

Colin Fyfe: Trends in Unsupervised Learning. ESANN 1999: 319-326

Darryl Charles, Colin Fyfe: Noise to extract independent causes. ESANN 1999: 345-350

Colin Fyfe, Darryl Charles, Stephen McGlinchey: Learning Independent Causes of a Visual Data Set using the Rectified Gaussian Distribution. IIA/SOCO 1999

Daniel Livingstone, Colin Fyfe: Dialect and Learned Systems of Communication in Multi-Agent Systems. IIA/SOCO 1999

Donald MacDonald, Colin Fyfe: Data Mining using Unsupervised Neural Networks. IIA/SOCO 1999

Tzai-Der Wang, J. P. Marney, Colin Fyfe: Cooperation in Oligopolies. IIA/SOCO 1999

Colin Fyfe: Structured population-based incremental learning. Soft Comput. 2(4): 191-198 (1998)

Stephen McGlinchey, Colin Fyfe: Invariant feature maps for analysis of orientations in image data. ESANN 1998: 215-220

Pei Ling Lai, Colin Fyfe: Canonical correlation analysis using artificial neural networks. ESANN 1998: 363-368

Mark Girolami, Colin Fyfe: Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm. Int. J. Neural Syst. 8(5-6): 661-678 (1997)

Colin Fyfe: A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit. Neural Networks 10(2): 257-262 (1997)

Mark Girolami, Colin Fyfe: An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem. Neural Networks 10(9): 1607-1618 (1997)

Colin Fyfe: A Neural Network for PCA and Beyond. Neural Processing Letters 6(1-2): 33-41 (1997)

Mark Girolami, Colin Fyfe: Independence is far from normal. ESANN 1997

Mark Girolami, Colin Fyfe: A Temporal Model of Linear Anti-Hebbian Learning. Neural Processing Letters 4(3): 139-148 (1996)

Colin Fyfe, Roland Baddeley: Non-linear data structure extraction using simple hebbian networks. Biological Cybernetics 72(6): 533-541 (1995)

Colin Fyfe: Introducing asymmetry into interneuron learning. Neural Computation 7(6): 1191-1205 (1995)

Colin Fyfe: A general exploratory projection pursuit network. Neural Processing Letters 2(3): 17-19 (1995)