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- Jerome T. Connor, R. Douglas Martin, Les E. Atlas
- IEEE Trans. Neural Networks
- 1994

We propose a robust learning algorithm and apply it to recurrent neural networks. This algorithm is based on filtering outliers from the data and then estimating parameters from the filtered data.â€¦ (More)

- Jenq-Neng Hwang, Shyh-Rong Lay, Martin MÃ¤chler, R. Douglas Martin, Jim Schimert
- IEEE Trans. Neural Networks
- 1994

We study and compare two types of connectionist learning methods for model-free regression problems: 1) the backpropagation learning (BPL); and 2) the projection pursuit learning (PPL) emerged inâ€¦ (More)

24. Plattner, G.-K., Joos, F., Stocker, T. F. & Marchal, O. Feedback mechanisms and sensitivities of ocean carbon uptake under global warming. Tellus B 53, 564â€“592 (2001). 25. Joos, F. et al. Globalâ€¦ (More)

- R. Douglas Martin, C. Johan Masreliez
- IEEE Trans. Information Theory
- 1975

SUMMARY The class of Mixture Transition Distribution (MTD) time series models is introduced. In these models, the conditional distribution of the current observation given the past is a mixture ofâ€¦ (More)

- Jerome T. Connor, Les E. Atlas, R. Douglas Martin
- NIPS
- 1991

Douglas R. Martin B-317 Dept. of Statistics University of Washington Seattle, Washington 98195 There exist large classes of time series, such as those with nonlinear moving average components, thatâ€¦ (More)

- Link E. Olson, Eric J Sargis, R. Douglas Martin
- Journal of Mammalian Evolution
- 2004

Although the supraordinal relationships of Scandentia (treeshrews) have been studied in great detail from both morphological and molecular perspectives, the phylogenetic relationships amongâ€¦ (More)

- R. Douglas Martin, Stuart C. Schwartz
- IEEE Trans. Information Theory
- 1971

A detector that is not nonparametric, but that nevertheless performs well over a broad class of noise distributions is termed a robust detector. One possible way to obtain a certain degree ofâ€¦ (More)

Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not reliable. A smallâ€¦ (More)

- Andrew, Bruce, R. Douglas Martin
- 2007

We propose diagnostics for ARIMA model fitting for time series formed by deleting observations from the data and measuring the change in the estimates of the parameters. The use of leave-one-outâ€¦ (More)