 | 2009 |
|---|
| 132 |       | 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) |
| 2008 |
|---|
| 131 |  | 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
Springer 2008 |
| 130 | | Pei Ling Lai,
Colin Fyfe:
Bregman Divergences and Multi-dimensional Scaling.
ICONIP (2) 2008: 935-942 |
| 129 | | Eunsong Jang,
Colin Fyfe,
Hanseok Ko:
Bregman Divergences and the Self Organising Map.
IDEAL 2008: 452-458 |
| 128 | | Hokun Kim,
Colin Fyfe,
Hanseok Ko:
Feature Locations in Images.
IDEAL 2008: 459-463 |
| 127 | | 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 |
| 126 | | Colin Fyfe:
Topographic Maps for Clustering and Data Visualization.
Computational Intelligence: A Compendium 2008: 111-153 |
| 125 | | Nicolás García-Pedrajas,
Colin Fyfe:
Evolving Output Codes for Multiclass Problems.
IEEE Trans. Evolutionary Computation 12(1): 93-106 (2008) |
| 124 | | Wesam Barbakh,
Colin Fyfe:
Online Clustering Algorithms.
Int. J. Neural Syst. 18(3): 185-194 (2008) |
| 123 | | 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) |
| 122 | | Nicolás García-Pedrajas,
Colin Fyfe:
Construction of classifier ensembles by means of artificial immune systems.
J. Heuristics 14(3): 285-310 (2008) |
| 121 | | Wesam Barbakh,
Colin Fyfe:
Local vs global interactions in clustering algorithms: Advances over K-means.
KES Journal 12(2): 83-99 (2008) |
| 120 | | 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) |
| 119 | | Jinsong Leng,
Colin Fyfe,
Lakhmi C. Jain:
Simulation and reinforcement learning with soccer agents.
Multiagent and Grid Systems 4(4): 415-436 (2008) |
| 118 | | 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) |
| 2007 |
|---|
| 117 | | Colin Fyfe,
Pei Ling Lai:
Immediate Reward Reinforcement Learning for Projective Kernel Methods.
ESANN 2007: 307-312 |
| 116 | | Ying Wu,
Colin Fyfe,
Pei Ling Lai:
Stochastic Weights Reinforcement Learning for Exploratory Data Analysis.
ICANN (1) 2007: 668-676 |
| 115 | | Colin Fyfe,
Wei Chuang Ooi,
Hanseok Ko:
Visualising and Clustering Video Data.
IDEAL 2007: 335-344 |
| 114 | | Wesam Barbakh,
Colin Fyfe:
Clustering with Reinforcement Learning.
IDEAL 2007: 507-516 |
| 113 | | Pei Ling Lai,
Colin Fyfe:
Reinforcement Learning for Topographic Mappings.
IJCNN 2007: 1354-1359 |
| 112 | | Colin Fyfe,
Pei Ling Lai:
Reinforcement Learning Reward Functions for Unsupervised Learning.
ISNN (1) 2007: 397-402 |
| 111 | | Jinsong Leng,
Colin Fyfe,
Lakhmi C. Jain:
Reinforcement Learning of Competitive Skills with Soccer Agents.
KES (1) 2007: 572-579 |
| 110 | | Jinsong Leng,
Lakhmi C. Jain,
Colin Fyfe:
Convergence Analysis on Approximate Reinforcement Learning.
KSEM 2007: 85-91 |
| 109 | | Colin Fyfe:
Two topographic maps for data visualisation.
Data Min. Knowl. Discov. 14(2): 207-224 (2007) |
| 108 | | Nicolás García-Pedrajas,
Cesar García-Osorio,
Colin Fyfe:
Nonlinear Boosting Projections for Ensemble Construction.
Journal of Machine Learning Research 8: 1-33 (2007) |
| 107 | | Nicolás García-Pedrajas,
Colin Fyfe:
Immune network based ensembles.
Neurocomputing 70(7-9): 1155-1166 (2007) |
| 2006 |
|---|
| 106 | | 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
Springer 2006 |
| 105 | | Benoit Chaperot,
Colin Fyfe:
Improving Artificial Intelligence In a Motocross Game.
CIG 2006: 181-186 |
| 104 | | Colin Fyfe,
Gayle Leen:
Stochastic Processes for Canonical Correlation Analysis.
ESANN 2006: 245-250 |
| 103 | | Marian Pena,
Colin Fyfe:
Outlier identification with the Harmonic Topographic Mapping.
ESANN 2006: 289-294 |
| 102 | | Gayle Leen,
Colin Fyfe:
A Gaussian process latent variable model formulation of canonical correlation analysis.
ESANN 2006: 413-418 |
| 101 | | Nicolás García-Pedrajas,
Colin Fyfe:
Immune Network based Ensembles.
ESANN 2006: 437-442 |
| 100 | | Pei Ling Lai,
Gayle Leen,
Colin Fyfe:
The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis.
ICANN (2) 2006: 302-310 |
| 99 | | Colin Fyfe,
Gayle Leen:
Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis.
ICONIP (1) 2006: 361-370 |
| 98 | | Marian Pena,
Colin Fyfe:
The Topographic Neural Gas.
IDEAL 2006: 241-248 |
| 97 | | Wesam Barbakh,
Malcolm Crowe,
Colin Fyfe:
A Family of Novel Clustering Algorithms.
IDEAL 2006: 283-290 |
| 96 | | Pei Ling Lai,
Gayle Leen,
Colin Fyfe:
A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis.
IJCNN 2006: 1073-1077 |
| 95 | | Pei Ling Lai,
Colin Fyfe:
A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation.
IJCNN 2006: 1143-1149 |
| 94 | | Colin Fyfe,
Tzai-Der Wang,
Shang Jen Chuang:
Comparing Gaussian Processes and Artificial Neural Networks for Forecasting.
JCIS 2006 |
| 93 | | Jinsong Leng,
Colin Fyfe,
Lakhmi C. Jain:
Teamwork and Simulation in Hybrid Cognitive Architecture.
KES (2) 2006: 472-478 |
| 92 | | Steve Thatcher,
Colin Fyfe:
Twinned Topographic Maps for Decision Making in the Cockpit.
KES (2) 2006: 508-514 |
| 91 | | Tzai-Der Wang,
Colin Fyfe:
Simulation of Cooperation for Price Competition in Oligopolies.
SEAL 2006: 718-725 |
| 90 | | 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) |
| 2005 |
|---|
| 89 | | Colin Fyfe:
Incrementally Learned Subjectivist Probabilities in Games.
CIG 2005 |
| 88 | | Gayle Leen,
Colin Fyfe:
Training an AI Player to play Pong Using the GTM.
CIG 2005 |
| 87 | | Oleksiy Dekhtyarenko,
Valery Tereshko,
Colin Fyfe:
Phase transition in sparse associative neural networks.
ESANN 2005: 387-392 |
| 86 | | Colin Fyfe:
The Topographic Product of Experts.
ICANN (1) 2005: 397-402 |
| 85 | | Colin Fyfe:
Local vs Global Models in Pong.
ICANN (2) 2005: 975-980 |
| 84 | | Cesar García-Osorio,
Colin Fyfe:
The combined use of self-organizing maps and andrews' curves.
Int. J. Neural Syst. 15(3): 197-206 (2005) |
| 83 | | Cesar García-Osorio,
Colin Fyfe:
Visualization of High-dimensional Data via Orthogonal Curves.
J. UCS 11(11): 1806-1819 (2005) |
| 82 | | Cesar García-Osorio,
Colin Fyfe:
Regaining sparsity in kernel principal components.
Neurocomputing 67: 398-402 (2005) |
| 2004 |
|---|
| 81 | | Cesar García-Osorio,
Jesús Maudes,
Colin Fyfe:
Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps.
ESANN 2004: 477-482 |
| 80 | | Tzai-Der Wang,
Colin Fyfe:
Traffic Jams: An Evolutionary Investigation.
IAT 2004: 381-384 |
| 79 | | Gayle Leen,
Colin Fyfe:
Agent Wars with Artificial Immune Systems.
ICEC 2004: 420-428 |
| 78 | | Donald MacDonald,
Colin Fyfe:
Strategy Selection in Games Using Co-evolution Between Artificial Immune Systems.
ICEC 2004: 445-450 |
| 77 | | 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 |
| 76 | | Jos Koetsier,
Emilio Corchado,
Donald MacDonald,
Juan M. Corchado,
Colin Fyfe:
Kernel Maximum Likelihood Hebbian Learning.
International Conference on Computational Science 2004: 650-653 |
| 75 | | Colin Fyfe:
Dual Stream Artificial Neural Networks.
KES 2004: 16-17 |
| 74 | | Steve Thatcher,
Lakhmi C. Jain,
Colin Fyfe:
An Intelligent Aircraft Landing Support System.
KES 2004: 74-79 |
| 73 | | Donald MacDonald,
Emilio Corchado,
Colin Fyfe:
Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian Learning.
MICAI 2004: 282-291 |
| 72 | | Donald MacDonald,
Jos Koetsier,
Emilio Corchado,
Colin Fyfe,
Juan M. Corchado:
A Kernel Method for Classification.
MICAI 2004: 823-832 |
| 71 | | 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) |
| 70 | | 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) |
| 69 | | Colin Fyfe:
Dynamic Strategy Creation and Selection Using Artificial Immune Systems.
Int. J. Intell. Games & Simulation 3(1): 1-6 (2004) |
| 68 | | 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) |
| 67 | | Zhenkun Gou,
Colin Fyfe:
A canonical correlation neural network for multicollinearity and functional data.
Neural Networks 17(2): 285-293 (2004) |
| 66 | | Jos Koetsier,
Ying Han,
Colin Fyfe:
Twinned principal curves.
Neural Networks 17(3): 399-409 (2004) |
| 65 | | Ying Han,
Emilio Corchado,
Colin Fyfe:
Forecasting using twinned principal curves and twinned self-organising maps.
Neurocomputing 57: 37-47 (2004) |
| 2003 |
|---|
| 64 | | Emilio Corchado,
Colin Fyfe:
Relevance and Kernel Self-Organising Maps.
ICANN 2003: 280-290 |
| 63 | | 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 |
| 62 | | Emilio Corchado,
Colin Fyfe:
Initialising Self-Organising Maps.
IDEAL 2003: 161-168 |
| 61 | | Emilio Corchado,
Colin Fyfe:
Progressive Concept Formation in Self-Organising Maps.
IWANN (1) 2003: 326-333 |
| 60 | | Emilio Corchado,
Colin Fyfe:
Connectionist Techniques For The Identification And Suppression Of Interfering Underlying Factors.
IJPRAI 17(8): 1447-1466 (2003) |
| 59 | | 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) |
| 58 | | 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) |
| 2002 |
|---|
| 57 | | Emilio Corchado,
Colin Fyfe:
Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit.
AICS 2002: 150-157 |
| 56 | | Donald MacDonald,
Colin Fyfe:
Clustering in data space and feature space.
ESANN 2002: 137-142 |
| 55 | | Colin Fyfe,
Emilio Corchado:
Maximum likelihood Hebbian rules.
ESANN 2002: 143-148 |
| 54 | | Ying Han,
Colin Fyfe:
Forecasting using twinned principal curves.
ESANN 2002: 471-476 |
| 53 | | Jos Koetsier,
Donald MacDonald,
Darryl Charles,
Colin Fyfe:
Exploratory Correlation Analysis.
ESANN 2002: 483-488 |
| 52 | | 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 |
| 51 | | Donald MacDonald,
Emilio Corchado,
Colin Fyfe,
Erzsébet Merényi:
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit.
ICANN 2002: 649-654 |
| 50 | | Emilio Corchado,
Colin Fyfe:
Optimal Projections of High Dimensional Data.
ICDM 2002: 589-596 |
| 49 | | Ying Han,
Colin Fyfe:
Complexity Pursuit for Financial Prediction.
IDEAL 2002: 397-402 |
| 48 | | Colin Fyfe,
Emilio Corchado:
A New Neural Implementation of Exploratory Projection Pursuit.
IDEAL 2002: 512-517 |
| 47 | | Emilio Corchado,
Colin Fyfe:
Extraction of Visual Information Using Maximum Likelihood Hebbian Learning.
SBRN 2002: 227-233 |
| 46 | | Colin Fyfe,
Juan M. Corchado:
A comparison of Kernel methods for instantiating case based reasoning systems.
Advanced Engineering Informatics 16(3): 165-178 (2002) |
| 45 | | Ying Han,
Colin Fyfe:
Finding Underlying Factors in Timeseries.
Cybernetics and Systems 33(4): 297-323 (2002) |
| 44 | | Emilio Corchado,
Colin Fyfe:
Extraction of Independent Causes Using Lateral Connections.
International Journal of Computational Intelligence and Applications 2(2): 115-130 (2002) |
| 43 | | Colin Fyfe,
Bogdan Gabrys:
Guest editorial introduction.
Knowl.-Based Syst. 15(1-2): 1-2 (2002) |
| 42 | | 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) |
| 41 | | Colin Fyfe,
Donald MacDonald:
epsilon-insensitive Hebbian learning.
Neurocomputing 47(1-4): 35-57 (2002) |
| 2001 |
|---|
| 40 | | Darryl Charles,
Colin Fyfe:
Unsupervised models for processing visual data.
ESANN 2001: 301-308 |
| 39 | | L. Tan,
Colin Fyfe:
Sparse Kernel Canonical Correlation Analysis.
ESANN 2001: 335-340 |
| 38 | | Emilio Corchado,
Darryl Charles,
Colin Fyfe:
Rectified Gaussian distributions and the formation of local filters from video data.
ESANN 2001: 397-402 |
| 37 | | Colin Fyfe,
Juan M. Corchado:
Automating the construction of CBR systems using kernel methods.
Int. J. Intell. Syst. 16(4): 571-586 (2001) |
| 36 | | Pei Ling Lai,
Colin Fyfe:
A Family of Canonical Correlation Networks.
Neural Processing Letters 14(2): 93-105 (2001) |
| 2000 |
|---|
| 35 | | Pei Ling Lai,
Shang Jen Chuang,
Colin Fyfe:
Power Load Forecasting Using Neural Canonical Correlates.
ICPR 2000: 2455-2458 |
| 34 | | Colin Fyfe,
Pei Ling Lai:
Canonical Correlation Analysis Neural Networks.
ICPR 2000: 2977-2980 |
| 33 | | Ying Han,
Colin Fyfe:
A Gneral Class of Neural Networks for Principal Component Analysis and Factor Analysis.
IDEAL 2000: 158-163 |
| 32 | | Zhenkun Gou,
Colin Fyfe:
Generalised Canonical Correlation Analysis.
IDEAL 2000: 164-173 |
| 31 | | Duncan McKay,
Colin Fyfe:
A Probabilistic Agent Approach to the Traffic Jam Problem.
IDEAL 2000: 332-337 |
| 30 | | Darryl Charles,
Colin Fyfe:
Kernel Factor Analysis with Varimax Rotation.
IJCNN (3) 2000: 381-386 |
| 29 | | Pei Ling Lai,
Colin Fyfe:
Kernel and Nonlinear Canonical Correlation Analysis.
IJCNN (4) 2000: 614 |
| 28 | | Duncan McKay,
Colin Fyfe:
Probability prediction using support vector machines.
KES 2000: 189-192 |
| 27 | | Donald MacDonald,
Colin Fyfe,
Darryl Charles:
Kernel exploratory projection pursuit.
KES 2000: 193-196 |
| 26 | | Zhen Kun Gon,
JunKang Feng,
Colin Fyfe:
A comparison of sparse kernel principal component analysis methods.
KES 2000: 309-312 |
| 25 | | Donald MacDonald,
Colin Fyfe:
The kernel self-organising map.
KES 2000: 317-320 |
| 24 | | 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) |
| 23 | | Pei Ling Lai,
Colin Fyfe:
Kernel and Nonlinear Canonical Correlation Analysis.
Int. J. Neural Syst. 10(5): 365-377 (2000) |
| 22 | | Pei Ling Lai,
Colin Fyfe:
Simultaneous Identification of Face and Orientation.
Neural Processing Letters 12(1): 33-40 (2000) |
| 1999 |
|---|
| 21 | | Daniel Livingstone,
Colin Fyfe:
Modelling the Evolution of Linguistic Diversity.
ECAL 1999: 704-708 |
| 20 | | 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 |
| 19 | | Donald MacDonald,
Darryl Charles,
Colin Fyfe:
Neural networks which identify composite factors.
ESANN 1999: 281-288 |
| 18 | | Colin Fyfe:
Trends in Unsupervised Learning.
ESANN 1999: 319-326 |
| 17 | | Darryl Charles,
Colin Fyfe:
Noise to extract independent causes.
ESANN 1999: 345-350 |
| 16 | | Tzai-Der Wang,
J. P. Marney,
Colin Fyfe:
Cooperation in Oligopolies.
IIA/SOCO 1999 |
| 15 | | Donald MacDonald,
Colin Fyfe:
Data Mining using Unsupervised Neural Networks.
IIA/SOCO 1999 |
| 14 | | Daniel Livingstone,
Colin Fyfe:
Dialect and Learned Systems of Communication in Multi-Agent Systems.
IIA/SOCO 1999 |
| 13 | | Colin Fyfe,
Darryl Charles,
Stephen McGlinchey:
Learning Independent Causes of a Visual Data Set using the Rectified Gaussian Distribution.
IIA/SOCO 1999 |
| 12 | | Juan M. Corchado,
Colin Fyfe:
Unsupervised neural method for temperature forecasting.
AI in Engineering 13(4): 351-357 (1999) |
| 11 | | Pei Ling Lai,
Colin Fyfe:
A neural implementation of canonical correlation analysis.
Neural Networks 12(10): 1391-1397 (1999) |
| 1998 |
|---|
| 10 | | Stephen McGlinchey,
Colin Fyfe:
Invariant feature maps for analysis of orientations in image data.
ESANN 1998: 215-220 |
| 9 | | Pei Ling Lai,
Colin Fyfe:
Canonical correlation analysis using artificial neural networks.
ESANN 1998: 363-368 |
| 8 | | Colin Fyfe:
Structured population-based incremental learning.
Soft Comput. 2(4): 191-198 (1998) |
| 1997 |
|---|
| 7 | | Mark Girolami,
Colin Fyfe:
Independence is far from normal.
ESANN 1997 |
| 6 | | Mark Girolami,
Colin Fyfe:
Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm.
Int. J. Neural Syst. 8(5-6): 661-678 (1997) |
| 5 | | Colin Fyfe:
A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit.
Neural Networks 10(2): 257-262 (1997) |
| 4 | | 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) |
| 3 | | Colin Fyfe:
A Neural Network for PCA and Beyond.
Neural Processing Letters 6(1-2): 33-41 (1997) |
| 1996 |
|---|
| 2 | | Mark Girolami,
Colin Fyfe:
A Temporal Model of Linear Anti-Hebbian Learning.
Neural Processing Letters 4(3): 139-148 (1996) |
| 1995 |
|---|
| 1 | | Colin Fyfe:
Introducing asymmetry into interneuron learning.
Neural Computation 7(6): 1191-1205 (1995) |
