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Titlebook: AI 2008: Advances in Artificial Intelligence; 21st Australasian Jo Wayne Wobcke,Mengjie Zhang Conference proceedings 2008 Springer-Verlag B

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樓主: foresight
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發(fā)表于 2025-3-25 03:58:03 | 只看該作者
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https://doi.org/10.1007/3-540-44574-9x time varying environments. Occupancy based 3D grid map and Gaussian distribution model based obstacle prediction are employed to represent the dynamic environment. Path planning and obstacle avoidance are performed by applying a cost-evaluation function on time-space Distance Transforms to uniquel
24#
發(fā)表于 2025-3-25 19:46:28 | 只看該作者
https://doi.org/10.1007/3-540-44574-9anism performs probabilistic comparisons between features specified in referring expressions (e.g. size and colour) and features of objects in the domain. The results of these comparisons are combined using a function weighted on the basis of the specified features. Our evaluation shows high referen
25#
發(fā)表于 2025-3-25 21:27:03 | 只看該作者
Feynman Integrals: a Brief Review,uage processor has the following interesting properties: (a) it translates declarative sentences written in PENG Light into a first-order logic notation (TPTP); (b) it generates declarative sentences in PENG Light taking syntactically annotated TPTP formulas as input; and (c) it translates questions
26#
發(fā)表于 2025-3-26 03:16:43 | 只看該作者
27#
發(fā)表于 2025-3-26 07:47:53 | 只看該作者
Springer Tracts in Modern Physicswer processing technique based on frame semantic alignment between questions and passages to identify answer candidates and score them, and ii) the lexical coverage of FrameNet over the predicates which represent the main actions in question and passage events. These are studied using a frame semant
28#
發(fā)表于 2025-3-26 11:54:31 | 只看該作者
Stereo-Vision-Support for Intelligent Vehicles - The Need for Quantified Evidence978-3-322-86742-1
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發(fā)表于 2025-3-26 15:43:42 | 只看該作者
Re-representation in a Logic-Based Model for Analogy Making978-3-658-38815-7
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發(fā)表于 2025-3-26 18:35:25 | 只看該作者
Constructing Web Corpora through Topical Web Partitioning for Term Recognition978-3-663-10368-4
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