In other words, it is always worth learning about best practices (even old ones), because hiding within each is a general principle that will help you meet a specific set of requirements.
换言之，学习有关最佳实践的知识(即使是旧知识)总是值得的，因为每种方法的背后都隐含一条通用原则，这有助于您满足特定的需求。
A corollary of this principle is that a learning algorithm should never be evaluated for its results in the training set because this shows no evidence of an ability to generalize to unseen instances.
这个原理的一个推论是，一种学习算法永远不会对它训练集的结果进行评估，因为对于一种未知的事例而言，没有证据表明算法具有概括它们的能力。
Support vector machine (SVM) is a new general learning machine, which analyzes the consistency of learning and speed of convergence from structure risk minimization principle.
支持向量机(SVM)是一种新的通用学习机器，它从结构风险最小化的角度，分析了学习过程的一致性、收敛速度等。
The systematic learning method, which adheres to the systematic principle of teaching, is an effective way in exercises teaching as leading the teaching and learning to be a harmonious unity.
系统学习法遵循教学的系统性原则，运用系统学习法是习题教学中行之有效的方法，可使教与学成为一个和谐的整体。
The Antibody Network (ABNET), which is a new ANN based on immune principle, has been proved to have good ability of unsupervised and competitive learning in experiments.
抗体网络作为一种新型的基于免疫原理的神经网络模型，已有的实验验证了其具有良好的无监督竞争学习能力。
The Antibody Network (ABNET), which is a new Artificial Neural Networks (ANN) based on immune principle, has been proved to have good ability of unsupervised and competitive learning in experiments.
抗体网络作为一种新型的基于免疫原理的神经网络模型，已有实验验证了其具有良好的无监督竞争学习能力。
So it is meaningful to develop a MCAI software utilize the most advanced theory and technique currently to improve the teaching and learning quality of automation principle course.
因此，应用当前最先进的MCAI理论技术研制一个MCAI软件，以帮助大幅提高《自动控制原理》课程的教、学质量具有重大的现实意义。
Support Vector Machine (SVM) is a kind of learning machines constructed according to SRM principle on the basis of VC theory, which is much more powerful man the neural networks.
支撑矢量机（SVM）是在VC理论的基础上根据结构风险最小归纳原理建立的一种比神经网络更强有力的学习机。
A reasonable normalization method is made certain by the normalization principle and the data of construction. This method increases the learning efficiency and the rate of convergence of the network.
针对施工数据，根据数据归一化的原则，确定了一个比较合理的归一化方法，提高了网络学习的效率和网络收敛的速度。
It discusses the use of RLO in course design and the building principle of its interior elements. This method presents a templet for course developer to building course based on learning object.
并深入讨论可重用学习对象(rlo)在课程设计中的运用以及内部元素构建原则，为课程设计开发人员提供一个基于学习对象的模板进行教学课程设计开发。
Chinese foreign language dictionary meant for foreigners learning Chinese should not be constrained by the compiling principle and framework of a convntional Chinese dictionary.
积极型汉外词典：原则与框架广东外语外贸大学教授陈楚祥一词典的价值在于使用。
We first discuss the structure and principle of the CMAC neural network. Using competitive learning, we develop a new adaptive quantization algorithm.
首先阐述了CMAC神经网络的原理、结构和学习算法，提出了一种新的采用竞争学习原理的非等距自适应量化算法。
In this paper, a method of dynamic experiment designs in sensory evaluation is presented that is based on dichotomy, and the principle of learning automata is applied in optimizing the dichotomy.
以二分法为基础，应用自动学习机原理建立一种动态的感官评估实验方法。
Taking the stand of subject of irony, this paper expounds that irony is a way of learning, a principle of thinking, a strategy of living.
反讽作为一种文化批判手段和哲学立场。站在反讽主体的角度上，本文作者认为：反讽是人类的一种认识方式，一种思维原则和一种生存策略。
In this paper, a self-learning algorithm is put forward based on pricing principle of ASPEN, a microsimulation model of the economy.
本文根据经济微观仿真模型ASPEN的定价机理，提出了一种自动学习算法。
It has long been recognized that the Structural Risk Minimization (SRM) principle based on the concept of VC-dimension provides an excellent means for complexity selection of a learning machine.
因此，对统计学习模型的复杂性给出评价与选择的准则，一直是一个核心问题。
Using the principle and the key element of learning programs, I proposed a learning program template that corresponds with all types of learners and all kinds of courses.
第五章着重介绍本文的两个关键算法，既学习方案制定算法和学习方案自适应优化算法。
The method can transfer the learning problem into a second planning to acquire the optimal solution according to the principle of structure risk minimum under limited samples situation.
该算法能针对在样本有限的情况下，采用结构风险最小化准则，把学习问题转化为一个二次规划问题来获得最优解。
The method can transfer the learning problem into a second planning to acquire the optimal solution according to the principle of structure risk minimum under limited samples situation.
该算法能针对在样本有限的情况下，采用结构风险最小化准则，把学习问题转化为一个二次规划问题来获得最优解。
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