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Titlebook: Learning to Learn; Sebastian Thrun,Lorien Pratt Book 1998 Springer Science+Business Media New York 1998 algorithms.artificial neural netwo

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樓主: TINGE
31#
發(fā)表于 2025-3-26 21:42:37 | 只看該作者
The Canonical Distortion Measure for Vector Quantization and Function Approximation environment. The CDM is calculated in closed form for several different function classes. An algorithm for training neural networks to implement the CDM is presented along with some encouraging experimental results.
32#
發(fā)表于 2025-3-27 02:21:18 | 只看該作者
33#
發(fā)表于 2025-3-27 05:18:20 | 只看該作者
Clustering Learning Tasks and the Selective Cross-Task Transfer of Knowledgexploits information selectively from this task cluster only. An empirical study carried out in a mobile robot domain shows that TC outperforms its non-selective counterpart in situations where only a small number of tasks is relevant..
34#
發(fā)表于 2025-3-27 09:51:06 | 只看該作者
ctions from experience. As machine learning is maturing, ithas begun to make the successful transition from academic research tovarious practical applications. Generic techniques such as decisiontrees and artificial neural networks, for example, are now being usedin various commercial and industrial
35#
發(fā)表于 2025-3-27 15:47:16 | 只看該作者
Transfer in Cognition, the importance of “surface content”, and the nature of the representations that are used. We will draw out these common themes, and note ways of facilitating transfer. We also briefly note possible implications for the study of transfer in neural networks.
36#
發(fā)表于 2025-3-27 19:10:32 | 只看該作者
37#
發(fā)表于 2025-3-28 01:33:44 | 只看該作者
38#
發(fā)表于 2025-3-28 03:19:35 | 只看該作者
https://doi.org/10.1007/978-1-4615-5529-2algorithms; artificial neural network; cognition; control; data mining; decision tree; knowledge; learning;
39#
發(fā)表于 2025-3-28 10:06:51 | 只看該作者
40#
發(fā)表于 2025-3-28 13:39:15 | 只看該作者
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