Colin Fyfe - researchr alias

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2011

Special issue on the trends in applied intelligence systemsNicolás García-Pedrajas, Francisco Herrera, Colin Fyfe. apin, 34(3):329-330, 2011. [doi]

Extending metric multidimensional scaling with Bregman divergencesJigang Sun, Malcolm Crowe, Colin Fyfe. PR, 44(5):1137-1154, 2011. [doi]

Multi-layer Topology Preserving Mapping for K-Means ClusteringYing Wu, Thomas K. Doyle, Colin Fyfe. ideal 2011: 84-91 [doi]

2010

Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. ProceedingsColin Fyfe, Peter Tiño, Darryl Charles, Cesar García-Osorio, Hujun Yin, editors, Volume 6283 of Lecture Notes in Computer Science, Springer, 2010. [doi]

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 IIINicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali, editors, Volume 6098 of Lecture Notes in Computer Science, Springer, 2010. [doi]

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 INicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali, editors, Volume 6096 of Lecture Notes in Computer Science, Springer, 2010. [doi]

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 IINicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali, editors, Volume 6097 of Lecture Notes in Computer Science, Springer, 2010. [doi]

Class Imbalance Methods for Translation Initiation Site RecognitionNicolás García-Pedrajas, Domingo Ortiz-Boyer, María D. García-Pedrajas, Colin Fyfe. ieaaie 2010: 327-336 [doi]

Extending Metric Multidimensional Scaling with Bregman DivergencesJigang Sun, Malcolm Crowe, Colin Fyfe. ieaaie 2010: 615-626 [doi]

Independent Component Analysis Using Bregman DivergencesXi Wang, Colin Fyfe. ieaaie 2010: 627-636 [doi]

Particle Swarm Optimization in Exploratory Data AnalysisYing Wu, Colin Fyfe. ieaaie 2010: 257-266 [doi]

2009

Non-Standard Parameter Adaptation for Exploratory Data AnalysisWesam Barbakh, Ying Wu, Colin Fyfe. Volume 249 of Studies in Computational Intelligence, Springer, 2009.

Immediate Reward Reinforcement Learning for Clustering and Topology Preserving MappingsColin Fyfe, Wesam Barbakh. dagstuhl 2009: 35-51 [doi]

Experimental analysis on Sarsa(lambda) and Q(lambda) with different eligibility traces strategiesJinsong Leng, Colin Fyfe, Lakhmi C. Jain. jifs, 20(1-2):73-82, 2009. [doi]

Experimental analysis of eligibility traces strategies in temporal difference learningJinsong Leng, Lakhmi C. Jain, Colin Fyfe. ijkesdp, 1(1):26-39, 2009. [doi]

2008

Local vs global interactions in clustering algorithms: Advances over K-meansWesam Barbakh, Colin Fyfe. kes, 12(2):83-99, 2008. [doi]

Online Clustering AlgorithmsWesam Barbakh, Colin Fyfe. IJNS, 18(3):185-194, 2008. [doi]

Intelligent Data Engineering and Automated Learning - IDEAL 2008, 9th International Conference, Daejeon, South Korea, November 2-5, 2008, ProceedingsColin Fyfe, Dongsup Kim, Soo-Young Lee, Hujun Yin, editors, Volume 5326 of Lecture Notes in Computer Science, Springer, 2008.

A topology preserving mapping for face recognitionColin Fyfe, Tseng Wen-Ching, Wu Chia-Ti, Chien Shih-Yu, Pei Ling Lai. ijcnn 2008: 1964-1968 [doi]

Topological Mappings of Video and Audio DataColin Fyfe, Wesam Barbakh, Wei Chuang Ooi, Hanseok Ko. IJNS, 18(6):481-489, 2008. [doi]

Topographic Maps for Clustering and Data VisualizationColin Fyfe. In John Fulcher, Lakhmi C. Jain, editors, Computational Intelligence: A Compendium. Volume 115 of Studies in Computational Intelligence, pages 111-153, Springer, 2008. [doi]

A stochastic process formulation of learning in cooperative agentsColin Fyfe, Gayle Leen, Lakhmi C. Jain, Steve Thatcher. mags, 4(4):401-414, 2008. [doi]

Evolving Output Codes for Multiclass ProblemsNicolás García-Pedrajas, Colin Fyfe. tec, 12(1):93-106, 2008. [doi]

Construction of classifier ensembles by means of artificial immune systemsNicolás García-Pedrajas, Colin Fyfe. heuristics, 14(3):285-310, 2008. [doi]

Bregman Divergences and the Self Organising MapEunsong Jang, Colin Fyfe, Hanseok Ko. ideal 2008: 452-458 [doi]

Feature Locations in ImagesHokun Kim, Colin Fyfe, Hanseok Ko. ideal 2008: 459-463 [doi]

Bregman Divergences and Multi-dimensional ScalingPei Ling Lai, Colin Fyfe. iconip 2009: 935-942 [doi]

Simulation and reinforcement learning with soccer agentsJinsong Leng, Colin Fyfe, Lakhmi C. Jain. mags, 4(4):415-436, 2008. [doi]

Exploratory data analysis with artificial immune systemsYing Wu, Colin Fyfe. evi, 1(2):159-169, 2008. [doi]

Two forms of immediate reward reinforcement learning for exploratory data analysisYing Wu, Colin Fyfe, Pei Ling Lai. NN, 21(6):847-855, 2008. [doi]

2007

Clustering with Reinforcement LearningWesam Barbakh, Colin Fyfe. ideal 2007: 507-516 [doi]

Immediate Reward Reinforcement Learning for Projective Kernel MethodsColin Fyfe, Pei Ling Lai. esann 2007: 307-312 [doi]

Reinforcement Learning Reward Functions for Unsupervised LearningColin Fyfe, Pei Ling Lai. isnn 2007: 397-402 [doi]

Visualising and Clustering Video DataColin Fyfe, Wei Chuang Ooi, Hanseok Ko. ideal 2007: 335-344 [doi]

Two topographic maps for data visualisationColin Fyfe. datamine, 14(2):207-224, 2007. [doi]

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

Nonlinear Boosting Projections for Ensemble ConstructionNicolás García-Pedrajas, Cesar García-Osorio, Colin Fyfe. jmlr, 8:1-33, 2007. [doi]

Immune network based ensemblesNicolás García-Pedrajas, Colin Fyfe. ijon, 70(7-9):1155-1166, 2007. [doi]

Reinforcement Learning for Topographic MappingsPei Ling Lai, Colin Fyfe. ijcnn 2007: 1354-1359 [doi]

Reinforcement Learning of Competitive Skills with Soccer AgentsJinsong Leng, Colin Fyfe, Lakhmi C. Jain. kes 2007: 572-579 [doi]

Convergence Analysis on Approximate Reinforcement LearningJinsong Leng, Lakhmi C. Jain, Colin Fyfe. ksem 2007: 85-91 [doi]

Stochastic Weights Reinforcement Learning for Exploratory Data AnalysisYing Wu, Colin Fyfe, Pei Ling Lai. icann 2007: 668-676 [doi]

2006

A Family of Novel Clustering AlgorithmsWesam Barbakh, Malcolm Crowe, Colin Fyfe. ideal 2006: 283-290 [doi]

Improving Artificial Intelligence In a Motocross GameBenoit Chaperot, Colin Fyfe. cig 2006: 181-186 [doi]

Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, ProceedingsEmilio Corchado, Hujun Yin, Vicente J. Botti, Colin Fyfe, editors, Volume 4224 of Lecture Notes in Computer Science, Springer, 2006.

Comparing Gaussian Processes and Artificial Neural Networks for ForecastingColin Fyfe, Tzai-Der Wang, Shang Jen Chuang. jcis 2006: [doi]

Two Methods for Sparsifying Probabilistic Canonical Correlation AnalysisColin Fyfe, Gayle Leen. iconip 2006: 361-370 [doi]

Stochastic Processes for Canonical Correlation AnalysisColin Fyfe, Gayle Leen. esann 2006: 245-250 [doi]

Teams of intelligent agents which learn using artificial immune systemsColin Fyfe, Lakhmi C. Jain. jnca, 29(2-3):147-159, 2006. [doi]

Immune Network based EnsemblesNicolás García-Pedrajas, Colin Fyfe. esann 2006: 437-442 [doi]

A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation AnalysisPei Ling Lai, Gayle Leen, Colin Fyfe. ijcnn 2006: 1073-1077 [doi]

A Latent Variable Implementation of Canonical Correlation Analysis for Data VisualisationPei Ling Lai, Colin Fyfe. ijcnn 2006: 1143-1149 [doi]

The Sphere-Concatenate Method for Gaussian Process Canonical Correlation AnalysisPei Ling Lai, Gayle Leen, Colin Fyfe. icann (empty year): 302-310 [doi]

A Gaussian process latent variable model formulation of canonical correlation analysisGayle Leen, Colin Fyfe. esann 2006: 413-418 [doi]

Teamwork and Simulation in Hybrid Cognitive ArchitectureJinsong Leng, Colin Fyfe, Lakhmi C. Jain. kes 2006: 472-478 [doi]

The Topographic Neural GasMarian Pena, Colin Fyfe. ideal 2006: 241-248 [doi]

Outlier identification with the Harmonic Topographic MappingMarian Pena, Colin Fyfe. esann 2006: 289-294 [doi]

Twinned Topographic Maps for Decision Making in the CockpitSteve Thatcher, Colin Fyfe. kes 2006: 508-514 [doi]

Simulation of Cooperation for Price Competition in OligopoliesTzai-Der Wang, Colin Fyfe. seal 2006: 718-725 [doi]

2005

2004

Internet agents who structure concept formation using kernel self-organising mapsEmilio Corchado, Donald MacDonald, Colin Fyfe. ijwet, 1(4):427-436, 2004.

Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection PursuitEmilio Corchado, Donald MacDonald, Colin Fyfe. datamine, 8(3):203-225, 2004. [doi]

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

Dual Stream Artificial Neural NetworksColin Fyfe. kes 2004: 16-17 [doi]

Dynamic Strategy Creation and Selection Using Artificial Immune SystemsColin Fyfe. ijigs, 3(1):1-6, 2004. [doi]

Using Andrews Curves for Clustering and Sub-clustering Self-Organizing MapsCesar García-Osorio, Jesús Maudes, Colin Fyfe. esann 2004: 477-482 [doi]

A canonical correlation neural network for multicollinearity and functional dataZhenkun Gou, Colin Fyfe. NN, 17(2):285-293, 2004. [doi]

Forecasting using twinned principal curves and twinned self-organising mapsYing Han, Emilio Corchado, Colin Fyfe. ijon, 57:37-47, 2004. [doi]

A Gis And Web-Based Decision Support Tool For The Management Of Urban SoilsIain Hossack, Douglas Robertson, Peter Tucker, Andrew Hursthouse, Colin Fyfe. cas, 35(4):499-509, 2004. [doi]

Kernel Maximum Likelihood Hebbian LearningJos Koetsier, Emilio Corchado, Donald MacDonald, Juan M. Corchado, Colin Fyfe. iccS 2004: 650-653 [doi]

Twinned principal curvesJos Koetsier, Ying Han, Colin Fyfe. NN, 17(3):399-409, 2004. [doi]

Agent Wars with Artificial Immune SystemsGayle Leen, Colin Fyfe. iwec 2004: 420-428 [doi]

Strategy Selection in Games Using Co-evolution Between Artificial Immune SystemsDonald MacDonald, Colin Fyfe. iwec 2004: 445-450 [doi]

A Kernel Method for ClassificationDonald MacDonald, Jos Koetsier, Emilio Corchado, Colin Fyfe, Juan M. Corchado. micai 2004: 823-832 [doi]

Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian LearningDonald MacDonald, Emilio Corchado, Colin Fyfe. micai 2004: 282-291 [doi]

An Intelligent Aircraft Landing Support SystemSteve Thatcher, Lakhmi C. Jain, Colin Fyfe. kes 2004: 74-79 [doi]

Traffic Jams: An Evolutionary InvestigationTzai-Der Wang, Colin Fyfe. iat 2004: 381-384 [doi]

2003

Relevance and Kernel Self-Organising MapsEmilio Corchado, Colin Fyfe. icann 2003: 280-290 [doi]

Structuring global responses of local filters using lateral connectionsEmilio Corchado, Ying Han, Colin Fyfe. jetai, 15(4):473-487, 2003. [doi]

Connectionist Techniques For The Identification And Suppression Of Interfering Underlying FactorsEmilio Corchado, Colin Fyfe. ijprai, 17(8):1447-1466, 2003. [doi]

Progressive Concept Formation in Self-Organising MapsEmilio Corchado, Colin Fyfe. iwann 2003: 326-333 [doi]

Initialising Self-Organising MapsEmilio Corchado, Colin Fyfe. ideal 2003: 161-168 [doi]

An Extension of epsilon-Insensitive Hebbian Learning to Form a Non-Interfering BasisEmilio Corchado, Colin Fyfe. ijcia, 3(3):281-296, 2003. [doi]

Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR SystemsJuan M. Corchado, Emilio Corchado, Jim Aiken, Colin Fyfe, Florentino Fernández Riverola, Manuel Gonzalez. iccbr 2003: 107-121 [doi]

2002

Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical NeuronsDarryl Charles, Jos Koetsier, Donald MacDonald, Colin Fyfe. icann 2002: 210-215 [doi]

Identification of Visual Features Using a Neural Version of Exploratory Projection PursuitEmilio Corchado, Colin Fyfe. aics 2002: 150-157 [doi]

Extraction of Independent Causes Using Lateral ConnectionsEmilio Corchado, Colin Fyfe. ijcia, 2(2):115-130, 2002. [doi]

Extraction of Visual Information Using Maximum Likelihood Hebbian LearningEmilio Corchado, Colin Fyfe. sbrn 2002: 227-233 [doi]

Guest editorial introductionColin Fyfe, Bogdan Gabrys. kbs, 15(1-2):1-2, 2002. [doi]

Complexity Pursuit for Financial PredictionYing Han, Colin Fyfe. ideal 2002: 397-402 [doi]

Finding Underlying Factors in TimeseriesYing Han, Colin Fyfe. cas, 33(4):297-323, 2002.

Forecasting using twinned principal curvesYing Han, Colin Fyfe. esann 2002: 471-476

Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection PursuitDonald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi. icann 2002: 649-654 [doi]

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