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Titlebook: Catalogue of Artificial Intelligence Techniques; Alan Bundy Book 19903rd edition Springer-Verlag Berlin Heidelberg 1990 Access.Extension.K

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發(fā)表于 2025-3-21 16:39:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Catalogue of Artificial Intelligence Techniques
編輯Alan Bundy
視頻videohttp://file.papertrans.cn/223/222424/222424.mp4
叢書名稱Symbolic Computation
圖書封面Titlebook: Catalogue of Artificial Intelligence Techniques;  Alan Bundy Book 19903rd edition Springer-Verlag Berlin Heidelberg 1990 Access.Extension.K
描述The purpose of the Catalogue of Artificial Intelligence Techniques is to promote interaction between members of the AI community. It does this by announcing the existence of AI techniques, and acting as a pointer into the literature. Thus the AI community will have access to a common, extensional definition of the field, which will promote a common terminology, discourage the reinvention of wheels, and act as a clearing house for ideas and algorithms. The catalogue is a reference work providing a quick guide to the AI techniques available for different jobs. It is not intended to be a textbook like the Artificial Intelligence Handbook. Intentionally, it only provides a brief description of each technique, with no extended discussion of its historical origin or how it has been used in particular AI programs. The original version of the catalogue was hastily built in 1983 as part of the UK SERC-DoI, IKBS Architecture Study. It was adopted by the UK Alvey Programme and, during the life of the programme, was both circulated to Alvey grant holders in hard copy form and maintained as an on-line document. A version designed for the international community was published as a paperback by S
出版日期Book 19903rd edition
關(guān)鍵詞Access; Extension; Künstliche Intelligenz; Wissensbasierte Systeme; artificial intelligence; intelligence
版次3
doihttps://doi.org/10.1007/978-3-642-97276-8
isbn_softcover978-3-642-97278-2
isbn_ebook978-3-642-97276-8
copyrightSpringer-Verlag Berlin Heidelberg 1990
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978-3-642-97278-2Springer-Verlag Berlin Heidelberg 1990
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Organisational Buying Capabilities,number of cues e.g. .. and ... It was thought by Marr to be at the limit of pure perception, i.e. subsequent processes are no longer completely data-driven, and for him it provides a representation of objective physical reality that precedes the decomposition of the scene into objects.
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Attitudes and Emotions of Employeestwo phases, a ‘learning’ phase and a ‘use’ phase. During the ‘learning’ phase examples of bit vectors together with a classifications are presented while during the ‘use’ phase unknown vectors are presented to the system and classified. The technique used is based on the Bledsoe and Browning n-tuple methodology.
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Cedric de Coning,Lawrence McDonald-Colbertfunctions. This involves “l(fā)ambda-abstraction”. The function . given by . can be written using lambda-abstraction as . so that . Application is written as juxtaposition, . for .(.). Terms made up using application and lambda abstraction can be manipulated in various ways, .. rename bound variables (.), and rewrite (λ...). as . (.).
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The Basic Oxygen Furnace to Obtain Steel, the structure of the object, and all other object points are defined with respect to that system. This description is, then, independent of viewpoint. One task of a vision system is to move from . to object-centered description.
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https://doi.org/10.1007/978-3-030-68321-4e formulae involved must be in .. If C[.′] and D are clauses, where C[.′] indicates that C contains a particular occurrence of .′. then the rule is . where θ is the most general . of . and .′, and is obtained by .. C[.] indicates that only the particular occurrence of .′ is replaced by . in C, other occurrences of .′ are untouched.
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Updates in Clinical Dermatologyved. The “scale” concerned is generally the width parameter of a Gaussian function with which the image is convolved; thus at small scales the image detail is faithfully represented and at large scales the detail is blurred as the result tends to the image mean.
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