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Titlebook: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics; State-of-the-Art and Andreas Holzinger,Igor Jurisica Book 2014 S

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發(fā)表于 2025-3-23 14:04:54 | 只看該作者
Andreas Holzinger,Bernhard Ofner,Matthias Dehmer convergence of Indian and Egyptian audiences and the embodiment of transnational masculinity in Bollywood cinema. Despite strict regulations on foreign film exhibition, . enjoyed a long run in Egypt, attesting to Bachchan’s enduring popularity. His embodiment of the “angry young man” archetype reso
12#
發(fā)表于 2025-3-23 20:53:41 | 只看該作者
Hoan Nguyen,Julie D. Thompson,Patrick Schutz,Olivier Pochough VHS circuits and broadcasting channels. Despite political challenges such as Egypt’s ban on Indian films and the devastation of the Civil War in Lebanon, Bollywood maintained its presence in the region by adapting to new distribution platforms..The emergence of dedicated channels like Zee Aflam
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發(fā)表于 2025-3-24 01:49:40 | 只看該作者
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發(fā)表于 2025-3-24 04:58:00 | 只看該作者
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發(fā)表于 2025-3-24 10:55:48 | 只看該作者
Andreas Holzinger colonialists and his own community, an embodied manifestation of patriarchy which had a good deal of power to affect the fortunes of that community. The Spanish American cacique has evolved and survived various attempts to curb that power Thakkar . (2012) to become an almost autonomous local bearer
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發(fā)表于 2025-3-24 17:37:45 | 只看該作者
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發(fā)表于 2025-3-24 19:24:44 | 只看該作者
Visual Data Mining: Effective Exploration of the Biological Universe,communication of ideas within multiple biological and biomedical fields. Large networks, such as the protein interactome or transcriptional regulatory networks, contain hundreds of thousands of objects and millions of relationships. These networks are continuously evolving as new knowledge becomes a
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發(fā)表于 2025-3-24 23:56:45 | 只看該作者
Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Miental principle of EAs is to use ideas inspired by the biological mechanisms observed in nature, such as selection and genetic changes, to find the best solution for a given optimization problem. Generally, EAs use iterative processes, by growing a population of solutions selected in a guided random
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發(fā)表于 2025-3-25 05:31:45 | 只看該作者
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