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Titlebook: Industrial Dynamics in China and India; Firms, Clusters, and Moriki Ohara (Associate Professor),M. Vijayabaskar Book 2011 Palgrave Macmilla

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發(fā)表于 2025-3-25 06:42:20 | 只看該作者
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Industrial Dynamics in China and India978-0-230-30830-5Series ISSN 2662-6314 Series E-ISSN 2662-6322
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2662-6314 ing the domestic and international factors that have led to their rise, and comparing their experiences with other East Asian late-comers such as Japan.978-1-349-33504-6978-0-230-30830-5Series ISSN 2662-6314 Series E-ISSN 2662-6322
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發(fā)表于 2025-3-26 00:40:41 | 只看該作者
Book 2011This book is one of the first fully-fledged studies to examine the next world-class industrial leaders emerging from China and India; exploring the domestic and international factors that have led to their rise, and comparing their experiences with other East Asian late-comers such as Japan.
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發(fā)表于 2025-3-26 04:52:30 | 只看該作者
https://doi.org/10.1057/9780230308305China; clusters; competition; development; East Asia; Economic Development; growth; innovation; Japan; manage
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發(fā)表于 2025-3-26 14:21:34 | 只看該作者
astive learning can be applied to hundreds of thousands of unlabeled Mars terrain images, collected from the Mars rovers Curiosity and Perseverance, and from the Mars Reconnaissance Orbiter. Such methods are appealing since the vast majority of Mars images are unlabeled as manual annotation is labor
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發(fā)表于 2025-3-26 18:38:36 | 只看該作者
Moriki Oharamework to incrementally retrain a model by selecting a subset of test inputs to label, which allows the model to adapt to changing input distributions. Algorithms within this framework are evaluated based on (1) model performance throughout mission lifetime and (2) cumulative costs associated with l
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