Large scale machine learning problems always restrict real application of many ma-chine learning algorithms.
超大规模机器学习问题往往是许多机器学习算法在实际应用中的一大限制。
In machine learning applications, Hadoop has been used as a way to scale genetic algorithms for processing large populations of GA individuals (potential solutions).
在计算机学习用户程序中，Hadoop已经作为处理大量GA个体的规模遗传算法的一种方法(潜在解决方案)。
Intrusion detection techniques based on machine learning is one of the key technologies to be applied to intelligent intrusion detection under the circumstance of large scale and bandwidth network.
基于机器学习的入侵检测方法是大规模、高带宽网络环境下实现对网络攻击智能检测的关键技术之一。
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