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2010 – 2019
- 2016
[j63]Juan Enrique Agudo, Colin Fyfe:
Achieving cooperation with many prisoners in the NIPD. Int. J. Comput. Sci. Eng. 12(1): 3-16 (2016)- [j62]Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe:
Factors important for good visualisation of time series. Int. J. Comput. Sci. Eng. 12(1): 17-28 (2016) - 2014
- [j61]Wesam M. Ashour, Colin Fyfe:
Improving Bregman k-means. Int. J. Data Min. Model. Manag. 6(1): 65-82 (2014) - 2013
- [j60]Rushi Lan, Jianwei Yang, Yong Jiang, Colin Fyfe, Zhan Song:
Whitening central projection descriptor for affine-invariant shape description. IET Image Process. 7(1): 81-91 (2013) - [j59]Jigang Sun, Malcolm K. Crowe
, Colin Fyfe:
Incorporating visualisation quality measures to curvilinear component analysis. Inf. Sci. 223: 75-101 (2013) - [j58]Tzai-Der Wang, Colin Fyfe:
Visualising Temporal Data Using Reservoir Computing. J. Inf. Sci. Eng. 29(4): 695-709 (2013) - 2012
- [j57]Xi Wang, Malcolm K. Crowe, Colin Fyfe:
Dual stream data exploration. Int. J. Data Min. Model. Manag. 4(2): 188-202 (2012) - [j56]Jigang Sun, Colin Fyfe, Malcolm K. Crowe:
Extending Sammon mapping with Bregman divergences. Inf. Sci. 187: 72-92 (2012) - [j55]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) - [j54]Colin Fyfe, Domingo Ortiz-Boyer, Nicolás García-Pedrajas:
Evolutionary algorithms and cross entropy. Int. J. Knowl. Based Intell. Eng. Syst. 16(4): 215-221 (2012) - [c107]Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe:
Comparative study of visualisation methods for temporal data. IEEE Congress on Evolutionary Computation 2012: 1-5 - [c106]Salah Rana, Malcolm K. Crowe, Colin Fyfe:
Reinforcement Programming for function approximation. UKCI 2012: 1-5 - 2011
- [j53]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe:
Special issue on the trends in applied intelligence systems. Appl. Intell. 34(3): 329-330 (2011) - [j52]Jigang Sun, Malcolm K. Crowe, Colin Fyfe:
Extending metric multidimensional scaling with Bregman divergences. Pattern Recognit. 44(5): 1137-1154 (2011) - [c105]Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe:
Minimal Echo State Networks for Visualisation. CIS 2011: 381-385 - [c104]Juan Enrique Agudo, Colin Fyfe:
Reinforcement Learning for the N-Persons Iterated Prisoners' Dilemma. CIS 2011: 472-476 - [c103]Ying Wu, Thomas K. Doyle, Colin Fyfe:
Multi-layer Topology Preserving Mapping for K-Means Clustering. IDEAL 2011: 84-91 - [c102]Sebastián Basterrech, Colin Fyfe, Gerardo Rubino:
Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks. ISDA 2011: 94-99 - 2010
- [c101]Jigang Sun, Colin Fyfe, Malcolm K. Crowe:
Curvilinear component analysis and Bregman divergences. ESANN 2010 - [c100]Ying Wu, Colin Fyfe:
Particle Swarm Optimization in Exploratory Data Analysis. IEA/AIE (2) 2010: 257-266 - [c99]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 - [c98]Jigang Sun, Malcolm K. Crowe, Colin Fyfe:
Extending Metric Multidimensional Scaling with Bregman Divergences. IEA/AIE (2) 2010: 615-626 - [c97]Xi Wang, Colin Fyfe:
Independent Component Analysis Using Bregman Divergences. IEA/AIE (2) 2010: 627-636 - [e6]Colin Fyfe, Peter Tiño, Darryl Charles, César Ignacio García-Osorio, Hujun Yin:
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 [contents] - [e5]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali:
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 [contents] - [e4]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali:
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 [contents] - [e3]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali:
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 [contents]
2000 – 2009
- 2009
- [b3]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 - [j51]Jinsong Leng, Lakhmi C. Jain, Colin Fyfe:
Experimental analysis of eligibility traces strategies in temporal difference learning. Int. J. Knowl. Eng. Soft Data Paradigms 1(1): 26-39 (2009) - [j50]Jinsong Leng, Colin Fyfe, Lakhmi C. Jain:
Experimental analysis on Sarsa(lambda) and Q(lambda) with different eligibility traces strategies. J. Intell. Fuzzy Syst. 20(1-2): 73-82 (2009) - [c96]Colin Fyfe, Wesam Barbakh:
Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings. Similarity-Based Clustering 2009: 35-51 - 2008
- [j49]Ying Wu, Colin Fyfe:
Exploratory data analysis with artificial immune systems. Evol. Intell. 1(2): 159-169 (2008) - [j48]Nicolás García-Pedrajas, Colin Fyfe:
Construction of classifier ensembles by means of artificial immune systems. J. Heuristics 14(3): 285-310 (2008) - [j47]Wesam Barbakh, Colin Fyfe:
Online Clustering Algorithms. Int. J. Neural Syst. 18(3): 185-194 (2008) - [j46]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) - [j45]Colin Fyfe, Gayle Leen, Pei Ling Lai:
Gaussian processes for canonical correlation analysis. Neurocomputing 71(16-18): 3077-3088 (2008) - [j44]Wesam Barbakh, Colin Fyfe:
Local vs global interactions in clustering algorithms: Advances over K-means. Int. J. Knowl. Based Intell. Eng. Syst. 12(2): 83-99 (2008) - [j43]Colin Fyfe, Gayle Leen, Lakhmi C. Jain, Steve Thatcher:
A stochastic process formulation of learning in cooperative agents. Multiagent Grid Syst. 4(4): 401-414 (2008) - [j42]Jinsong Leng, Colin Fyfe, Lakhmi C. Jain:
Simulation and reinforcement learning with soccer agents. Multiagent Grid Syst. 4(4): 415-436 (2008) - [j41]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) - [j40]Nicolás García-Pedrajas, Colin Fyfe:
Evolving Output Codes for Multiclass Problems. IEEE Trans. Evol. Comput. 12(1): 93-106 (2008) - [c95]Pei Ling Lai, Colin Fyfe:
Bregman Divergences and Multi-dimensional Scaling. ICONIP (2) 2008: 935-942 - [c94]Eunsong Jang, Colin Fyfe, Hanseok Ko:
Bregman Divergences and the Self Organising Map. IDEAL 2008: 452-458 - [c93]Hokun Kim, Colin Fyfe, Hanseok Ko:
Feature Locations in Images. IDEAL 2008: 459-463 - [c92]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 - [p1]Colin Fyfe:
Topographic Maps for Clustering and Data Visualization. Computational Intelligence: A Compendium 2008: 111-153 - [e2]Colin Fyfe, Dongsup Kim, Soo-Young Lee, Hujun Yin:
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 [contents] - 2007
- [j39]Colin Fyfe:
Two topographic maps for data visualisation. Data Min. Knowl. Discov. 14(2): 207-224 (2007) - [j38]Nicolás García-Pedrajas, Colin Fyfe:
Immune network based ensembles. Neurocomputing 70(7-9): 1155-1166 (2007) - [j37]Nicolás García-Pedrajas, César Ignacio García-Osorio, Colin Fyfe:
Nonlinear Boosting Projections for Ensemble Construction. J. Mach. Learn. Res. 8: 1-33 (2007) - [c91]Colin Fyfe, Pei Ling Lai:
Immediate Reward Reinforcement Learning for Projective Kernel Methods. ESANN 2007: 307-312 - [c90]Leo Galway, Darryl Charles, Michaela M. Black, Colin Fyfe:
Temporal Difference Control within a Dynamic Environment. GAMEON 2007: 42-47 - [c89]Ying Wu, Colin Fyfe, Pei Ling Lai:
Stochastic Weights Reinforcement Learning for Exploratory Data Analysis. ICANN (1) 2007: 668-676 - [c88]Colin Fyfe, Wei Chuang Ooi, Hanseok Ko:
Visualising and Clustering Video Data. IDEAL 2007: 335-344 - [c87]Wesam Barbakh, Colin Fyfe:
Clustering with Reinforcement Learning. IDEAL 2007: 507-516 - [c86]Pei Ling Lai, Colin Fyfe:
Reinforcement Learning for Topographic Mappings. IJCNN 2007: 1354-1359 - [c85]Colin Fyfe, Pei Ling Lai:
Reinforcement Learning Reward Functions for Unsupervised Learning. ISNN (1) 2007: 397-402 - [c84]Jinsong Leng, Colin Fyfe, Lakhmi C. Jain:
Reinforcement Learning of Competitive Skills with Soccer Agents. KES (1) 2007: 572-579 - [c83]Jinsong Leng, Lakhmi C. Jain, Colin Fyfe:
Convergence Analysis on Approximate Reinforcement Learning. KSEM 2007: 85-91 - 2006
- [j36]Colin Fyfe, Lakhmi C. Jain:
Teams of intelligent agents which learn using artificial immune systems. J. Netw. Comput. Appl. 29(2-3): 147-159 (2006) - [c82]Benoit Chaperot, Colin Fyfe:
Improving Artificial Intelligence In a Motocross Game. CIG 2006: 181-186 - [c81]Colin Fyfe, Gayle Leen:
Stochastic Processes for Canonical Correlation Analysis. ESANN 2006: 245-250 - [c80]Marian Pena, Colin Fyfe:
Outlier identification with the Harmonic Topographic Mapping. ESANN 2006: 289-294 - [c79]Gayle Leen, Colin Fyfe:
A Gaussian process latent variable model formulation of canonical correlation analysis. ESANN 2006: 413-418 - [c78]Nicolás García-Pedrajas, Colin Fyfe:
Immune Network based Ensembles. ESANN 2006: 437-442 - [c77]Pei Ling Lai, Gayle Leen, Colin Fyfe:
The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis. ICANN (2) 2006: 302-310 - [c76]Colin Fyfe, Gayle Leen:
Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis. ICONIP (1) 2006: 361-370 - [c75]Marian Pena, Colin Fyfe:
The Topographic Neural Gas. IDEAL 2006: 241-248 - [c74]Wesam Barbakh, Malcolm K. Crowe, Colin Fyfe:
A Family of Novel Clustering Algorithms. IDEAL 2006: 283-290 - [c73]Pei Ling Lai, Gayle Leen, Colin Fyfe:
A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis. IJCNN 2006: 1073-1077 - [c72]Pei Ling Lai, Colin Fyfe:
A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation. IJCNN 2006: 1143-1149 - [c71]Colin Fyfe, Tzai-Der Wang, Shang Jen Chuang:
Comparing Gaussian Processes and Artificial Neural Networks for Forecasting. JCIS 2006 - [c70]Jinsong Leng, Colin Fyfe, Lakhmi C. Jain:
Teamwork and Simulation in Hybrid Cognitive Architecture. KES (2) 2006: 472-478 - [c69]Steve Thatcher, Colin Fyfe:
Twinned Topographic Maps for Decision Making in the Cockpit. KES (2) 2006: 508-514 - [c68]Tzai-Der Wang, Colin Fyfe:
Simulation of Cooperation for Price Competition in Oligopolies. SEAL 2006: 718-725 - [e1]Emilio Corchado, Hujun Yin, Vicente J. Botti, Colin Fyfe:
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 [contents] - 2005
- [b2]Colin Fyfe:
Hebbian Learning and Negative Feedback Networks. Advanced Information and Knowledge Processing, Springer 2005, ISBN 978-1-85233-883-1, pp. 1-313 - [j35]César Ignacio García-Osorio, Colin Fyfe:
The combined use of self-organizing maps and andrews' curves. Int. J. Neural Syst. 15(3): 197-206 (2005) - [j34]César Ignacio García-Osorio, Colin Fyfe:
Regaining sparsity in kernel principal components. Neurocomputing 67: 398-402 (2005) - [j33]César Ignacio García-Osorio, Colin Fyfe:
Visualization of High-dimensional Data via Orthogonal Curves. J. Univers. Comput. Sci. 11(11): 1806-1819 (2005) - [c67]Colin Fyfe:
Incrementally Learned Subjectivist Probabilities in Games. CIG 2005 - [c66]Gayle Leen, Colin Fyfe:
Training an AI Player to play Pong Using the GTM. CIG 2005 - [c65]Oleksiy Dekhtyarenko, Valery Tereshko, Colin Fyfe:
Phase transition in sparse associative neural networks. ESANN 2005: 387-392 - [c64]Colin Fyfe:
The Topographic Product of Experts. ICANN (1) 2005: 397-402 - [c63]Colin Fyfe:
Local vs Global Models in Pong. ICANN (2) 2005: 975-980 - 2004
- [j32]Iain Hossack, Douglas Robertson, Peter Tucker, Andrew Hursthouse, Colin Fyfe:
A Gis And Web-Based Decision Support Tool For The Management Of Urban Soils. Cybern. Syst. 35(4): 499-509 (2004) - [j31]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) - [j30]Colin Fyfe:
Dynamic Strategy Creation and Selection Using Artificial Immune Systems. Int. J. Intell. Games Simul. 3(1): 1-6 (2004) - [j29]Ying Han, Emilio Corchado, Colin Fyfe:
Forecasting using twinned principal curves and twinned self-organising maps. Neurocomputing 57: 37-47 (2004) - [j28]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) - [j27]Zhenkun Gou, Colin Fyfe:
A canonical correlation neural network for multicollinearity and functional data. Neural Networks 17(2): 285-293 (2004) - [j26]Jos Koetsier, Ying Han, Colin Fyfe:
Twinned principal curves. Neural Networks 17(3): 399-409 (2004) - [c62]César Ignacio García-Osorio, Jesús Maudes, Colin Fyfe:
Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps. ESANN 2004: 477-482 - [c61]Tzai-Der Wang, Colin Fyfe:
Traffic Jams: An Evolutionary Investigation. IAT 2004: 381-384 - [c60]Jos Koetsier, Emilio Corchado, Donald MacDonald, Juan M. Corchado, Colin Fyfe:
Kernel Maximum Likelihood Hebbian Learning. International Conference on Computational Science 2004: 650-653 - [c59]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 - [c58]Gayle Leen, Colin Fyfe:
Agent Wars with Artificial Immune Systems. ICEC 2004: 420-428 - [c57]Donald MacDonald, Colin Fyfe:
Strategy Selection in Games Using Co-evolution Between Artificial Immune Systems. ICEC 2004: 445-450 - [c56]Colin Fyfe:
Dual Stream Artificial Neural Networks. KES 2004: 16-17 - [c55]Steve Thatcher, Lakhmi C. Jain, Colin Fyfe:
An Intelligent Aircraft Landing Support System. KES 2004: 74-79 - [c54]Donald MacDonald, Emilio Corchado, Colin Fyfe:
Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian Learning. MICAI 2004: 282-291 - [c53]Donald MacDonald, Jos Koetsier, Emilio Corchado, Colin Fyfe, Juan M. Corchado:
A Kernel Method for Classification. MICAI 2004: 823-832 - 2003
- [j25]Emilio Corchado, Colin Fyfe:
An Extension of epsilon-Insensitive Hebbian Learning to Form a Non-Interfering Basis. Int. J. Comput. Intell. Appl. 3(3): 281-296 (2003) - [j24]Emilio Corchado, Colin Fyfe:
Connectionist Techniques For The Identification And Suppression Of Interfering Underlying Factors. Int. J. Pattern Recognit. Artif. Intell. 17(8): 1447-1466 (2003) - [j23]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) - [c52]Emilio Corchado, Colin Fyfe:
Relevance and Kernel Self-Organising Maps. ICANN 2003: 280-290 - [c51]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 - [c50]Emilio Corchado, Colin Fyfe:
Initialising Self-Organising Maps. IDEAL 2003: 161-168 - [c49]Emilio Corchado, Colin Fyfe:
Progressive Concept Formation in Self-Organising Maps. IWANN (1) 2003: 326-333 - 2002
- [j22]Colin Fyfe, Juan M. Corchado:
A comparison of Kernel methods for instantiating case based reasoning systems. Adv. Eng. Informatics 16(3): 165-178 (2002) - [j21]Ying Han, Colin Fyfe:
Finding Underlying Factors in Timeseries. Cybern. Syst. 33(4): 297-323 (2002) - [j20]Emilio Corchado, Colin Fyfe:
Extraction of Independent Causes Using Lateral Connections. Int. J. Comput. Intell. Appl. 2(2): 115-130 (2002) - [j19]Colin Fyfe, Donald MacDonald:
epsilon-insensitive Hebbian learning. Neurocomputing 47(1-4): 35-57 (2002) - [j18]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) - [j17]Colin Fyfe, Bogdan Gabrys:
Guest editorial introduction. Knowl. Based Syst. 15(1-2): 1-2 (2002) - [c48]Emilio Corchado, Colin Fyfe:
Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit. AICS 2002: 150-157 - [c47]Donald MacDonald, Colin Fyfe:
Clustering in data space and feature space. ESANN 2002: 137-142 - [c46]Colin Fyfe, Emilio Corchado:
Maximum likelihood Hebbian rules. ESANN 2002: 143-148 - [c45]Ying Han, Colin Fyfe:
Forecasting using twinned principal curves. ESANN 2002: 471-476 - [c44]Jos Koetsier, Donald MacDonald, Darryl Charles, Colin Fyfe:
Exploratory Correlation Analysis. ESANN 2002: 483-488 - [c43]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 - [c42]Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi:
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. ICANN 2002: 649-654 - [c41]Emilio Corchado, Colin Fyfe:
Optimal Projections of High Dimensional Data. ICDM 2002: 589-596 - [c40]Ying Han, Colin Fyfe:
Complexity Pursuit for Financial Prediction. IDEAL 2002: 397-402 - [c39]Colin Fyfe, Emilio Corchado:
A New Neural Implementation of Exploratory Projection Pursuit. IDEAL 2002: 512-517 - [c38]Zhenkun Gou, Colin Fyfe:
A robust canonical correlation neural network. NNSP 2002: 239-248 - [c37]Emilio Corchado, Jos Koetsier, Donald MacDonald, Colin Fyfe:
Classification and ICA using maximum likelihood Hebbian learning. NNSP 2002: 327-336 - [c36]Emilio Corchado, Colin Fyfe:
Extraction of Visual Information Using Maximum Likelihood Hebbian Learning. SBRN 2002: 227-233 - 2001
- [j16]Colin Fyfe, Juan M. Corchado:
Automating the construction of CBR systems using kernel methods. Int. J. Intell. Syst. 16(4): 571-586 (2001) - [j15]Pei Ling Lai, Colin Fyfe:
A Family of Canonical Correlation Networks. Neural Process. Lett. 14(2): 93-105 (2001) - [c35]Darryl Charles, Colin Fyfe:
Unsupervised models for processing visual data. ESANN 2001: 301-308 - [c34]L. Tan, Colin Fyfe:
Sparse Kernel Canonical Correlation Analysis. ESANN 2001: 335-340 - [c33]Emilio Corchado, Darryl Charles, Colin Fyfe:
Rectified Gaussian distributions and the formation of local filters from video data. ESANN 2001: 397-402 - 2000
- [j14]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) - [j13]Pei Ling Lai, Colin Fyfe:
Kernel and Nonlinear Canonical Correlation Analysis. Int. J. Neural Syst. 10(5): 365-377 (2000) - [j12]Pei Ling Lai, Colin Fyfe:
Simultaneous Identification of Face and Orientation. Neural Process. Lett. 12(1): 33-40 (2000) - [c32]Pei Ling Lai, Shang Jen Chuang, Colin Fyfe:
Power Load Forecasting Using Neural Canonical Correlates. ICPR 2000: 2455-2458 - [c31]Colin Fyfe, Pei Ling Lai:
Canonical Correlation Analysis Neural Networks. ICPR 2000: 2977-2980 - [c30]Ying Han, Colin Fyfe:
A Gneral Class of Neural Networks for Principal Component Analysis and Factor Analysis. IDEAL 2000: 158-163 - [c29]Zhenkun Gou, Colin Fyfe:
Generalised Canonical Correlation Analysis. IDEAL 2000: 164-173 - [c28]Duncan McKay, Colin Fyfe:
A Probabilistic Agent Approach to the Traffic Jam Problem. IDEAL 2000: 332-337 - [c27]Darryl Charles, Colin Fyfe:
Kernel Factor Analysis with Varimax Rotation. IJCNN (3) 2000: 381-386 - [c26]Pei Ling Lai, Colin Fyfe:
Kernel and Nonlinear Canonical Correlation Analysis. IJCNN (4) 2000: 614 - [c25]Duncan McKay, Colin Fyfe:
Probability prediction using support vector machines. KES 2000: 189-192 - [c24]Donald MacDonald, Colin Fyfe, Darryl Charles:
Kernel exploratory projection pursuit. KES 2000: 193-196 - [c23]Zhen Kun Gon, JunKang Feng, Colin Fyfe:
A comparison of sparse kernel principal component analysis methods. KES 2000: 309-312 - [c22]Donald MacDonald, Colin Fyfe:
The kernel self-organising map. KES 2000: 317-320
1990 – 1999
- 1999
- [j11]Juan M. Corchado, Colin Fyfe:
Unsupervised neural method for temperature forecasting. Artif. Intell. Eng. 13(4): 351-357 (1999) - [j10]Pei Ling Lai, Colin Fyfe:
A neural implementation of canonical correlation analysis. Neural Networks 12(10): 1391-1397 (1999) - [c21]Daniel Livingstone, Colin Fyfe:
Modelling the Evolution of Linguistic Diversity. ECAL 1999: 704-708 - [c20]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 - [c19]Donald MacDonald, Darryl Charles, Colin Fyfe:
Neural networks which identify composite factors. ESANN 1999: 281-288 - [c18]Colin Fyfe:
Trends in Unsupervised Learning. ESANN 1999: 319-326 - [c17]Darryl Charles, Colin Fyfe:
Noise to extract independent causes. ESANN 1999: 345-350 - [c16]Colin Fyfe, Darryl Charles, Stephen McGlinchey:
Learning Independent Causes of a Visual Data Set using the Rectified Gaussian Distribution. IIA/SOCO 1999 - [c15]Daniel Livingstone, Colin Fyfe:
Dialect and Learned Systems of Communication in Multi-Agent Systems. IIA/SOCO 1999 - [c14]Donald MacDonald, Colin Fyfe:
Data Mining using Unsupervised Neural Networks. IIA/SOCO 1999 - [c13]Tzai-Der Wang, J. P. Marney, Colin Fyfe:
Cooperation in Oligopolies. IIA/SOCO 1999 - 1998
- [j9]Colin Fyfe:
Structured population-based incremental learning. Soft Comput. 2(4): 191-198 (1998) - [c12]Juan M. Corchado, Colin Fyfe, Brian Lees:
Unsupervised learning for financial forecasting. CIFEr 1998: 259-263 - [c11]Stephen McGlinchey, Colin Fyfe:
Invariant feature maps for analysis of orientations in image data. ESANN 1998: 215-220 - [c10]Pei Ling Lai, Colin Fyfe:
Canonical correlation analysis using artificial neural networks. ESANN 1998: 363-368 - [c9]Stephen McGlinchey, Colin Fyfe:
Fast formation of invariant feature maps. EUSIPCO 1998: 1-4 - 1997
- [j8]Mark A. Girolami, Colin Fyfe:
Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm. Int. J. Neural Syst. 8(5-6): 661-678 (1997) - [j7]Colin Fyfe:
A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit. Neural Networks 10(2): 257-262 (1997) - [j6]Mark A. 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) - [j5]Colin Fyfe:
A Neural Network for PCA and Beyond. Neural Process. Lett. 6(1-2): 33-41 (1997) - [c8]Mark Girolami, Colin Fyfe:
Multivariate Density Factorization for Independent Component Analysis: An Unsupervised Artificial Neural Network Approach. AISTATS 1997: 223-230 - [c7]Mark A. Girolami, Colin Fyfe:
Independence is far from normal. ESANN 1997 - [c6]Stephen McGlinchey, Colin Fyfe:
Automatic Extraction of Phase and Frequency Information from Raw Voice Data. ICANNGA 1997: 103-106 - [c5]Mark Girolami, Colin Fyfe:
Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis. ICANNGA 1997: 112-115 - [c4]Colin Fyfe:
Multi-layered Niche Formation. ICANNGA 1997: 193-197 - [c3]Colin Fyfe:
An Unsupervised Neural Method for Time Series Analysis, Characterisation and Prediction. ICANNGA 1997: 464-467 - [c2]Mark A. Girolami, Colin Fyfe:
Kurtosis extrema and identification of independent components: a neural network approach. ICASSP 1997: 3329-3332 - [c1]Mark A. Girolami, Colin Fyfe:
Generalised independent component analysis through unsupervised learning with emergent Bussgang properties. ICNN 1997: 1788-1791 - 1996
- [j4]Mark A. Girolami, Colin Fyfe:
A Temporal Model of Linear Anti-Hebbian Learning. Neural Process. Lett. 4(3): 139-148 (1996) - 1995
- [b1]Colin Fyfe:
Negative feedback as an organising principle for artificial neural networks. University of Strathclyde, Glasgow, UK, 1995 - [j3]Colin Fyfe, Roland Baddeley:
Non-linear data structure extraction using simple hebbian networks. Biol. Cybern. 72(6): 533-541 (1995) - [j2]Colin Fyfe:
Introducing asymmetry into interneuron learning. Neural Comput. 7(6): 1191-1205 (1995) - [j1]Colin Fyfe:
A general exploratory projection pursuit network. Neural Process. Lett. 2(3): 17-19 (1995)
Coauthor Index
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