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Titlebook: Machine Learning of Robot Assembly Plans; Alberto Maria Segre Book 1988 Kluwer Academic Publishers 1988 artificial intelligence.classifica

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樓主: Melanin
31#
發(fā)表于 2025-3-27 00:48:22 | 只看該作者
Alberto Maria Segretions must be solved not for each particle separately but for the ensemble as a whole in this case. The author describes techniques for the generation of shapes of aggregates. The orientation averaging is performed by a numerical integration with respect to Euler angles. The numerical aspects of var
32#
發(fā)表于 2025-3-27 01:41:25 | 只看該作者
33#
發(fā)表于 2025-3-27 07:05:43 | 只看該作者
34#
發(fā)表于 2025-3-27 10:11:43 | 只看該作者
35#
發(fā)表于 2025-3-27 16:17:35 | 只看該作者
Scenario,In this chapter we examine a transcript of the ARMS system in operation. The emphasis here is in providing an intuitive feel for the operation of the system; later, we will revisit the same example and provide more detail.
36#
發(fā)表于 2025-3-27 18:25:25 | 只看該作者
Explanation-Based Learning,The mechanism by which the ARMS system increases its planning ability belongs to that category of machine learning known as . (hereafter EBL) [2–6]. Explanation-based learning is a fairly recent addition to the machine-learning toolbox; relatively few systems have been implemented, and most are small prototypes.
37#
發(fā)表于 2025-3-27 23:42:14 | 只看該作者
38#
發(fā)表于 2025-3-28 04:02:29 | 只看該作者
39#
發(fā)表于 2025-3-28 09:19:42 | 只看該作者
Summary and Future Work,nt, ARMS has raised many new issues that must yet be resolved. In this chapter we conclude our examination of the ARMS system with a discussion of its relation to other work, its extensibility, and directions for future research.
40#
發(fā)表于 2025-3-28 12:33:42 | 只看該作者
978-1-4612-8954-8Kluwer Academic Publishers 1988
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