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Titlebook: KI 2004: Advances in Artificial Intelligence; 27th Annual German C Susanne Biundo,Thom Frühwirth,Günther Palm Conference proceedings 2004 S

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樓主: trace-mineral
41#
發(fā)表于 2025-3-28 17:27:37 | 只看該作者
42#
發(fā)表于 2025-3-28 21:29:08 | 只看該作者
43#
發(fā)表于 2025-3-29 00:19:47 | 只看該作者
Application of Machine Learning Techniques to the Re-ranking of Search ResultsThe list of results is then re-ordered according to the outcome from the machine learner. We have further shown that our system performs sufficiently well even if the example pages belong to a slightly different (but related) domain.
44#
發(fā)表于 2025-3-29 05:55:36 | 只看該作者
45#
發(fā)表于 2025-3-29 08:01:59 | 只看該作者
46#
發(fā)表于 2025-3-29 11:27:33 | 只看該作者
Automated Reasoning Tools for Molecular Biologyat the molecular level. The mass production of post genomic data, such as ARN expression, protein production and protein-protein interaction, raises the need of a strong parallel effort on the formal representation of biological processes..In this talk, we shall present the Biochemical Abstract Mach
47#
發(fā)表于 2025-3-29 16:05:32 | 只看該作者
Ω,: Computer Supported Mathematicsen number” (with Martin Davis’ implementation of Presburger Arithmetic in 1954)..While Martin Davis and later the research community of automated deduction used machine oriented calculi to find the proof for a theorem by automatic means, the Automath project of N.G. de Bruijn – more modest in its ai
48#
發(fā)表于 2025-3-29 21:58:31 | 只看該作者
49#
發(fā)表于 2025-3-30 01:55:36 | 只看該作者
SmartWeb: Mobile Applications of the Semantic WebmartWeb project (duration: 2004 – 2007) is to lay the foundations for multimodal user interfaces to distributed and composable semantic Web services on mobile devices. The SmartWeb consortium brings together experts from various research communities: mobile services, intelligent user interfaces, lan
50#
發(fā)表于 2025-3-30 07:10:53 | 只看該作者
Machine Learning for Autonomous Robotslack of methods that would allow the direct application of reinforcement learning to real systems. The key capability of such learning systems is the efficency with respect to the number of interactions with the real system. Several examples are given that illustrate recent progress made in that dir
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