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Titlebook: Advances in Knowledge Discovery and Data Mining; 26th Pacific-Asia Co Jo?o Gama,Tianrui Li,Fei Teng Conference proceedings 2022 The Editor(

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發(fā)表于 2025-3-23 10:19:39 | 只看該作者
Interconnected Neural Linear Contextual Bandits with UCB Exploration in India during this time. The authors explain why this period should be termed "Indian winter monsoon" and differentiate it from the northeast monsoon which so far is the prevalent term used in the region‘s meteorological parlance.?.Complete with detailed illustrations and case studies, this monog
12#
發(fā)表于 2025-3-23 15:39:17 | 只看該作者
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發(fā)表于 2025-3-23 18:13:14 | 只看該作者
Residual Vector Product Quantization for Approximate Nearest Neighbor Searcho devote a separate chapter to such a major element in the political economy of the European Community’s energy market. For despite the rate of increase in consumption having been slowed by the OPEC oil price rise, West German consumption is expected to reach 475 million tons of coal equivalent by 1
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發(fā)表于 2025-3-24 00:08:06 | 只看該作者
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發(fā)表于 2025-3-24 05:05:14 | 只看該作者
Emerging Scientific Topic Discovery by?Finding Infrequent Synonymous Bitermste illustrations of other diseases. This updated edition of a long-trusted resource will serve a broad audience, from amateur backyard gardeners to landscape architects, arborists, florists, nursery professionals and plant scientists..978-1-4020-4585-1
16#
發(fā)表于 2025-3-24 06:34:13 | 只看該作者
ADAM: An Attentional Data Augmentation Method for?Extreme Multi-label Text Classificatione lessons learned in several constitutional environments in contemporary states. It alsodiscusses the global expansion of the pattern of Western constitutionalism and the contemporary challenges in the age of globalization, focusing on the development of a European constitutional space..978-3-319-99338-6
17#
發(fā)表于 2025-3-24 10:58:40 | 只看該作者
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發(fā)表于 2025-3-24 15:52:44 | 只看該作者
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發(fā)表于 2025-3-24 19:39:31 | 只看該作者
20#
發(fā)表于 2025-3-24 23:27:22 | 只看該作者
Elena Abate MD,Bruno Pinamonti MDi-resolution structure with recursive prediction from coarser to finer resolutions. This proposal reveals that an arduous modification of the model is not the only way to leverage multi-resolution knowledge. It further uses a redesigned lightweight space-time attention implementation to concurrently
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