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All Outputs (8)

Democratic deficit and communication hyper-inflation in health care systems (2002)
Journal Article
Andras, P., & Charlton, B. G. (2002). Democratic deficit and communication hyper-inflation in health care systems. Journal of Evaluation in Clinical Practice, 8(3), 291-297. https://doi.org/10.1046/j.1365-2753.2002.00354.x

There is a widespread perception of poor performance and reduced trust in relation to health care systems. The roots of this problem are interpreted in terms of the democratic deficit and communication hyper-inflation. The democratic deficit is chara... Read More about Democratic deficit and communication hyper-inflation in health care systems.

Hype and spin in the NHS (2002)
Journal Article
Andras, P., & Charlton, B. (2002). Hype and spin in the NHS. British Journal of General Practice, 52(479), 520-521

The equivalence of support vector machine and regularization neural networks (2002)
Journal Article
Andras, P. (2002). The equivalence of support vector machine and regularization neural networks. Neural Processing Letters, 15, 97-104. https://doi.org/10.1023/A%3A1015292818897

We show in this brief paper the equivalence of the support vector machine and regularization neural networks. We prove both implication sides of the equivalence in a generally applicable way. The novelty lies in the effective construction of the regu... Read More about The equivalence of support vector machine and regularization neural networks.

Toward statistically valid population decoding models (2002)
Journal Article
Andras, P., Panzeri, S., & Young, M. P. (2002). Toward statistically valid population decoding models. Neurocomputing, 44, 269-274. https://doi.org/10.1016/S0925-2312%2802%2900349-1

8We focus in this paper on the methodology of building statistically valid population code read-out models for spike train data. A new method is explored, which uses Bayesian networks to formalize the read-out model, Monte Carlo validation to check t... Read More about Toward statistically valid population decoding models.