Search Results - Fine, T.L.

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  1. 1
    Testing for stochastic independence: application to blind source separation

    Testing for stochastic independence: application to blind source separation by Chin-Jen Ku, Fine, T.L.

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  2. 2
    A Bayesian Independence Test for Small Datasets

    A Bayesian Independence Test for Small Datasets by Chin-Jen Ku, Fine, T.L.

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  3. 3
    A frequentist understanding of sets of measures

    A frequentist understanding of sets of measures by Fierens, P.I., Rêgo, L.C., Fine, T.L.

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  4. 4
    Optimal power and retransmission control policies for random access systems

    Optimal power and retransmission control policies for random access systems by del Angel, G., Fine, T.L.

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  5. 5
    Information capacity and power control for slotted Aloha random-access systems

    Information capacity and power control for slotted Aloha random-access systems by del Angel, G., Fine, T.L.

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  6. 6
    A new ICA algorithm for blind source separation

    A new ICA algorithm for blind source separation by Chin-Jen Ku, Fine, T.L.

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  7. 7
    Neural-network design for small training sets of high dimension

    Neural-network design for small training sets of high dimension by Jen-Lun Yuan, Fine, T.L.

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  8. 8
    A Bayesian provedure to recognize independent signals

    A Bayesian provedure to recognize independent signals by Chin-Jen Ku, Fine, T.L.

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  9. 9
    Ensemble pruning algorithms for accelerated training

    Ensemble pruning algorithms for accelerated training by Mukherjee, S., Fine, T.L.

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  10. 10
    Fundamentals of Artificial Neural Networks [Book Reviews]

    Fundamentals of Artificial Neural Networks [Book Reviews] by Fine, T.L.

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  11. 11
    Adaptive blind equalization using artificial neural networks

    Adaptive blind equalization using artificial neural networks by Chiu Fai Wong, Fine, T.L.

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  12. 12
    Solving conflicts of known multiplicity

    Solving conflicts of known multiplicity by del Angel, G., Fine, T.L.

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  13. 13
    On the asymptotic optimality of coded slotted Aloha random access systems

    On the asymptotic optimality of coded slotted Aloha random access systems by del Angel, G., Fine, T.L.

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  14. 14
    Interval-valued probability modeling of Internet traffic variables

    Interval-valued probability modeling of Internet traffic variables by Fierens, P.I., Fine, T.L.

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  15. 15
    Parameter convergence and learning curves for neural networks

    Parameter convergence and learning curves for neural networks by Fine, T.L., Mukherjee, S.

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  16. 16
    Sample Size Requirements of Feedforward Neural Network Pattern Classifiers

    Sample Size Requirements of Feedforward Neural Network Pattern Classifiers by Fine, T.L., Turmon, M.J.

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  17. 17
    Assessing generalization of feedforward neural networks

    Assessing generalization of feedforward neural networks by Turmon, M.J., Fine, T.L.

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  18. 18
    Sensor-assisted multiple access protocols for wireless networks

    Sensor-assisted multiple access protocols for wireless networks by Fine, T.L., Wicker, S.B., Berger, T.

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  19. 19
    Nonparametric Regression-Based Method for Neural Network Training

    Nonparametric Regression-Based Method for Neural Network Training by Fine, T.L., Jen-Lun Yuan

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  20. 20
    Sensor-assisted ALOHA for wireless networks

    Sensor-assisted ALOHA for wireless networks by Fine, T.L., Wicker, S.B., Berger, T., Halpern, J.

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