摘要
一位新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑在一份新的报告中讨论了机器学习的研究结果-计算智能。根据NewsRx记者在深圳的新闻报道，研究表明：“复杂网络中的影响力最大化(IM)试图激活一小部分种子节点，使影响力最大化，IM的研究因其在项目推荐、病毒营销、信息传播和疾病免疫等方面的广泛应用而受到广泛关注。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning - Computati onal Intelligence are discussed in a new report. According to news reporting fro m Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “Influence maximization (IM) in complex networks tries to activate a small subse t of seed nodes that could maximize the propagation of influence. The studies on IM have attracted much attention due to their wide applications such as item re commendation, viral marketing, information propagation and disease immunization. ”
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