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Titlebook: Machine Learning of Natural Language; David M. W. Powers,Christopher C. R. Turk Book 1989 Springer-Verlag London Limited 1989 artificial i

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發(fā)表于 2025-3-21 16:54:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning of Natural Language
編輯David M. W. Powers,Christopher C. R. Turk
視頻videohttp://file.papertrans.cn/621/620709/620709.mp4
圖書封面Titlebook: Machine Learning of Natural Language; David M. W. Powers,Christopher C. R. Turk Book 1989 Springer-Verlag London Limited 1989 artificial i
描述We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. The logical ‘rules‘ seem to us an epiphe- nomena ·of the neural mechanism, rather than an essential component in language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. People like Yorick Wilks have been able to show in paper after paper that almost any rule which can be devised can be shown to have exceptions. The meaning does not lie in the rules. David Powers is a teacher of computer science. Christopher Turk, like many workers who have come into the field of AI (Artificial Intelligence) was originally trained in literature. He moved into linguistics, and then into computational linguistics. In 1983 he took a sabbatical in Roger Shank‘s AI project in the Computer Science Department at Yale University. Like an earlier visitor to the project, John Searle from California, Christopher Turk was increasin
出版日期Book 1989
關(guān)鍵詞artificial intelligence; cognition; epistemology; grammar; heuristics; intelligence; learning; linguistics;
版次1
doihttps://doi.org/10.1007/978-1-4471-1697-4
isbn_softcover978-3-540-19557-3
isbn_ebook978-1-4471-1697-4
copyrightSpringer-Verlag London Limited 1989
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David M. W. Powers ThC(Hons), PhD, MACS, MIEEE,Christopher C. R. Turk MA (Cantab), DPhil (Sussex)ulations have shown that the polarization degree is more sensitive to cloud microstructure than radiance. This is connected with the fact that the peculiarities of the angular distribution of polarization are far less subjected to smoothing upon multiple scattering than those of radiance. This under
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David M. W. Powers ThC(Hons), PhD, MACS, MIEEE,Christopher C. R. Turk MA (Cantab), DPhil (Sussex)R. Schmehl [.]. A model based on the discrete source method has been given by Eremin and Orlov [.,.], whereas the transmission conditions at the interface are satisfied analytically and the fields of discrete sources are derived by using the Green tensor for a plane surface. More details on computat
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David M. W. Powers ThC(Hons), PhD, MACS, MIEEE,Christopher C. R. Turk MA (Cantab), DPhil (Sussex)bling/adding approach and the discrete ordinate method. For descriptions of the former, see for example (.;.;.). The well-known scalar DISORT discrete ordinate model was developed in the 1980s and released for general use in plane-parallel multi-layer multiple scattering media (.); this was extended
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David M. W. Powers ThC(Hons), PhD, MACS, MIEEE,Christopher C. R. Turk MA (Cantab), DPhil (Sussex)osol particles are formed either by mechanical processes or by condensation of gases and vapors. Mechanical processes producing aerosols may be natural, like windblown dust, sea salt spray, and volcanoes, or man-made, such as industrial activities, burning of fossil fuels, and the alteration of natu
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