Publications dans lesquelles il/elle collabore avec Colin Fyfe (28)

2006

  1. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2004

  1. A Connectionist Knowledge Management Model

    3rd International workshop on practical applications of agents and multiagent systems: IWPAAMS 2004

  2. A Kernel method for classification

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  3. A cooperative unsupervised architecture to develop a business management model

    Tendencias de la minería de datos en España: Red Española de Minería de Datos y Aprendizaje (TIC2002-11124-E) (Raúl Giráldez), pp. 253-261

  4. Analysing spectroscopic data using hierarchical cooperative maximum likelihood hebbian learning

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  5. Development of a global and integral model of business management using an unsupervised model

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3177, pp. 499-504

  6. Forecasting using twinned principal curves and twinned self-organising maps

    Neurocomputing, Vol. 57, Núm. 1-4, pp. 37-47

  7. Initialising self-organising maps

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2690, pp. 161-168

  8. Internet agents who structure concept formation using kernel self-organising maps

    International Journal of Web Engineering and Technology, Vol. 1, Núm. 4, pp. 427-436

  9. Kernel Maximum Likelihood Hebbian learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3037, pp. 650-653

  10. Kernel Self-Organizing Map for Information Retrieval

    NTIT : New trends on information technology (Departamento de Informática), pp. 133-143

  11. Maximum and Minimum Likelihood Hebbian learning for exploratory projection pursuit

    Data Mining and Knowledge Discovery, Vol. 8, Núm. 3, pp. 203-225

  12. Maximum-Likelihood Competitive Learning for the Analysisof Spectroscopic Data

    NTIT : New trends on information technology (Departamento de Informática), pp. 144-157

2003

  1. Connectionist techniques for the identification and suppression of interfering underlying factors

    International Journal of Pattern Recognition and Artificial Intelligence, Vol. 17, Núm. 8, pp. 1447-1466

  2. Maximum likelihood hebbian learning based retrieval method for CBR systems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Progressive concept formation in self-organising maps

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2686, pp. 326-333

  4. Relevance and kernel self-organising maps

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2714, pp. 280-287

  5. Structuring global responses of local filters using lateral connections

    Journal of Experimental and Theoretical Artificial Intelligence, Vol. 15, Núm. 4, pp. 473-487

2002

  1. A new neural implementation of exploratory projection pursuit

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Analytical model for constructing deliberative agents

    International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, Vol. 10, Núm. 3, pp. 173-185