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Neural Networks for Conditional Probability Estimation: Forecasting Beyond Point Predictions - Perspectives in Neural Computing Dirk Husmeier Softcover reprint of the original 1st ed. 1999 edition
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Neural Networks for Conditional Probability Estimation: Forecasting Beyond Point Predictions - Perspectives in Neural Computing
Dirk Husmeier
Chapter 1 demonstrates that even for a deterministic system and 'be nign' Gaussian observational noise, the conditional distribution of a future observation, conditional on a set of past observations, can become strongly skewed and multimodal.
298 pages, 13 black & white illustrations
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 1999. gada 22. februāris |
| ISBN13 | 9781852330958 |
| Izdevēji | Springer London Ltd |
| Lapas | 275 |
| Izmēri | 155 × 235 × 16 mm · 467 g |
| Valoda | Angļu |
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