In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
In this paper, we proposed a parallel BP neural network learning algorithm with the support of PC cluster under the circumstance of PVM (parallel Virtual Machine).
本文提出了一种利用微机机群来实现并行处理，在并行编程环境P VM中实现BP神经网络的并行学习算法。
The field goes by many names, such as connectionism, parallel distributed processing, neuro-computing, natural intelligent systems, machine learning algorithms, and artificial neural networks.
这个领域 有很多术语，例如连接机制、并行分布处理、神经计算、自然智能系统、机器学习算法和人工神经网络。
Multi-instance learning (MIL) has been regarded by some international experts as a new learning framework parallel to the three traditional machine learning frameworks.
多示例学习被国际上一些专家认为是与传统的三大机器学习框架并列的一种新型学习框架。
Multi-instance learning (MIL) has been regarded by some international experts as a new learning framework parallel to the three traditional machine learning frameworks.
多示例学习被国际上一些专家认为是与传统的三大机器学习框架并列的一种新型学习框架。
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