These clients either saw little parallel learning.
这些客户或者看见一点类似的学会。
Parallel learning can be used in both the imitation and the trial-and-error models.
类似的学习，可用于双方模仿和试验和错误模型。
The learning of the network is also studied and an adaptive parallel learning algorithm is proposed.
并对该神经网络模型的学习算法进行了研究，提出了一种自适应并行学习算法。
The real difference is attributable to the use of parallel learning, which Guinness allowed, and the others did not.
真正的区别是因为使用了类似的学习，其中吉尼斯允许，而有的则没有。
As can be seen in figure 4, the use of parallel learning by these clients was comparatively low, and this had an impact on the outcome.
可以看出，图4采用类似的学习和这些客户比较是低的，而这也影响了这个结果。
Rooted in the requirement of data partitioning in parallel learning, we proposed our cluster method by improving a current clustering equally method.
起源于并行学习算法对数据划分的要求，在对一种现行等分割聚类算法进行改进的基础上，本文提出自己的等分聚类算法。
One way to compensate is to see the thinking in practice before integrating it into the organization. This fits well with parallel learning, to be addressed in the next section.
一个办法来弥补，就是看思想的实践中，然后将它纳入该组织。这正好符合类似的学习，将在下一节演讲。
Learning the system, and designing and executing tests are now parallel activities.
认识系统，以及涉及和执行测试现在是并行活动。
On the other hand, it is only a passive way of learning to obtain information, which do not parallel to creative thinking that is essential for education.
另一方面，它只是一个被动获取信息的学习方式，这与创造性思维的不平行，这对教育是至关重要的。
This paper applies parallel tangents of nonlinear programming during the weights training of neural network and puts forward a neural network in view of fast learning algorithm.
因此，作者将非线性规划的平行切线算法用于神经网络的权值学习，提出了一种具有快速学习算法的神经网络。
It includes deep learning algorithms, data modeling, and a massive GPU able to work across parallel platforms, says Lin Yuanqing, director of the Baidu's Institute of deep learning.
据百度深度学习研究所所长林远清(音)表示说，百度大脑包括深度学习算法、数据建模、以及一个可以在并行平台上运行的大型GPU。
In parallel, lemongrass will assist ascending humans in learning to hold your boundaries in karmic encounters with others.
类似的，柠檬香草也将协助提升人们学会在与他人的业力遭遇中持有自身界域。
Lecture/seminar based modules are taught in parallel to the design modules to enable students to put into practice the theoretical knowledge they are learning.
讲座/研讨会为主的课程与设计课程是平行地进行教授的，这样学生就可以有机会将学到的理论知识马上运用到设计中。
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。
TBB parallel libraries, CPU developed under learning essential information, good learning materials!
说明：TBB并行库，CPU下开发学习必备资料，很好的学习资料！
Neutral network computer can simulate human brains in parallel information processing manner, with functions of striking self-learning, thinking, reasoning, judging, and memorizing.
神经网络计算机能模拟人脑的并行处理方式，具有惊人的自学习、思维、推理、判断和记忆的功能。
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。
Neural network have the abilities of self-learning, adapt and parallel management, but the structural selection lacks academic bases.
神经网络具有自学习，自适应，并行处理的能力，但结构的选择缺乏理论依据。
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。
The neural networks have many advantages such as nonlinear map, self-learning, distributional memory, parallel processing and so on.
神经网络则具有非线性映射、自学习能力、分布存储能力及并行处理信息等优点。
It has multiple sets of parallel versions, and the results should be using special statistical methods to reduce error and learning effects of testing.
测评结果的评价应使用特殊的统计学方法减少测验误差和练习效应。
It has multiple sets of parallel versions, and the results should be using special statistical methods to reduce error and learning effects of testing.
测评结果的评价应使用特殊的统计学方法减少测验误差和练习效应。
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