今年五月开始，对可能判处死刑或者终身监禁的案件的审理，将从选民中随机抽取的6名未经专业学习的陪审员，将与3名法官一起进行案件审理。
Starting in May, though, six lay jurors, chosen at random from among voters, will sit alongside three judges in contested cases punishable by death or life imprisonment.
比如，在教小孩学习阅读的时候，严格按照脚本的课程效果更好，它们的内容和课时都是用随机试验确定的。
When teaching small children to read, for example, tightly scripted lessons, their exact content and timing honed by randomised trials, do best.
这类的关系中有很多都是在学习小组中建立起来的，而学习小组的组成通常并不是靠简单的抽签或者Excel的随机分配。
Many of those connections are rooted in study groups, which are usually not formed by luck of the draw or random sorting on Excel.
如何使模型学习与记忆具有一定随机性。
How to make learning and memory of the model possess some randomness.
根据该理论，学习过程就是由随机信息源产生的输入信号驱动神经网络参数不断修改的过程；
The learning process of a neural network is considered the process in which neural network variables are changed with a time series of input signals generated from a stochastic information source.
随机显示问题可以让学习者每次上课时都会得到一组全新的问题。
Randomize the questions to provide an entirely new set of questions to the learners every time they take the course.
这些活动将帮助你随机且轻松的学习单词。
These activities will help you learn random words effortlessly.
其中采用了基于与或图的随机图像语法模型，以此指导对形状物体的理解、分解、学习、采样。
The And-Or graph stochastic grammar is used for the understanding, decomposing, learning and sampling on shape object.
该模型有自组织和自学习的功能，可以根据每次学习误差的不同，不断调整学习速率，加速收敛过程，充分排除数据样本的随机性影响。
The network model can organize and study itself, according to different study error, continuously adjust the study rate, and accelerate refrain process, expel influence of the data sample.
提出了对随机事件概率分布参数进行自学习的方法，把知识化制造单元中的不确定因素纳入任务控制的数学模型。
The uncertain factors of the knowledgeable manufacturing cell were included in the task control model by utilizing a self-study method of probability distribution parameters of stochastic events.
随机过程的学习对于以研究电脑为基础的人工智能是非常重要的。
The study of stochastic processes is valuable for research into computer-based artificial intelligence.
各种条件下内隐学习成绩均显著高于随机水平。
The achievement of implicit learning under each condition is significantly higher than random level.
通过仿真试验检验了改进的迭代学习控制律能够使得具有随机干扰的被控系统达到稳定，而传统的控制律则不能。
The simulation test verify the controlled system with random disturbance can reached to stability by using improved iterative learning control law but not the traditional control law.
在分析了目前的拥塞控制算法的基础上，将随机估计学习算法(SELA)和模糊逻辑的知识引入拥塞控制，提出了新的拥塞控制模型。
Based on analysis of the current congesting algorithm, a new congesting control mechanism is proposed, which employs SELA (stochastic estimator learning algorithm) and fuzzy logic controller.
设定被控系统是具有随机干扰的迭代学习控制系统。
Suppose the controlled system is iterative learning control system with random disturbance.
学习随机指派实验对象到两个群体的方法。
Learn methods for randomly assigning subjects to two groups.
经对性能指标性质的分析给出了一种模糊神经网络的学习算法——二阶段变半径随机搜索法。
Based on the analysis of the performance index a new algorithm, two stage random search algorithm with variable radius, is put forward.
本研究主要采用实验法，依托中央广播电视大学南海学习中心03法学班的英语课程，依据简单随机抽样方法抽取了实验对象。
The research adopts experiment method. It takes an example of English course of Law '03, Nanhai center, Crtvu and chooses experiment objects based on SRS.
它满足了人们自主收看节目、随机获取信息的需求，为我们的生活和学习带来诸多便利。
It satisfies people to watch their own programs, randomly access to the information needs of many of our lives and bring to facilitate learning.
对这些软性(学科)领域进行评估要注意两方面的问题：随机性较高而产生的困难；(评估工作)可能会适得其反，从而破坏学习环境。
Assessment in these softer areas is problematic in two respects: it is difficult and thus perhaps arbitrary, and it risks being counterproductive because it can damage a learning environment.
方法按整群、分层、随机的原则，采用学习适应性测验(中学生版)对全市中学进行抽样调查。
Methods the sampled students, which were taken out from the all middle schools in Sanming city by means of randomized stratification cluster sampling, were investigated with AAT (adaptability test).
将学习理论与鲁棒控制相结合，采用随机化算法针对实参数不确定系统讨论了鲁棒控制器的设计问题。
This paper combines learning theory with robust control and discusses robust control design problems involving real parameter uncertainty in control systems based on randomized algorithms.
想了解随机函数的请下载学习。
这种学习规则的基本思想就是：通过不断地优化变异随机选择的连接权矩阵元，从而使网络在给定的训练目标下达到整体最优。
The basic idea of this learning rule is to obtain a certain optimization by continuously changing the elements of coupling matrix selected randomly.
经过相关文献的消化和研究，本文确定的研究对象是一个问题的两个方面：（1）行为人在随机决策中经历的学习规则如何；
The subject of this study is the two sides of one problem: (1) the learning rule in stochastic decision-making, especially the belief updating rule;
金融时间序列具有很强的随机性和非线性性，而神经网络具有良好的非线性映射能力及自适应、自学习和良好的泛化能力，因此非常适合处理金融时间序列这样的数据。
Financial time series has high randomicity and nonlinearity. Neural network is quite suitable in the process of financial time series data for its good ability of nonlinear mapping and generalization.
金融时间序列具有很强的随机性和非线性性，而神经网络具有良好的非线性映射能力及自适应、自学习和良好的泛化能力，因此非常适合处理金融时间序列这样的数据。
Financial time series has high randomicity and nonlinearity. Neural network is quite suitable in the process of financial time series data for its good ability of nonlinear mapping and generalization.
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