提倡合作方式的多样化和基于问题的学习。
Encourage the diversification of the cooperative way and recommend Problem Based Learning.
基于问题的学习模式(PBL)是一种在建构主义学习理论基础上产生的教学模式。
Problem based learning (PBL) method is a teaching mode based on the learning theory of building structure.
基于问题的学习教学法是先提出问题，根据实际情况，提供一切应对的资源和指导的教学法。
Problem-based Learning is an educational method that raises a problem first, and then encourages students to find the answer based on rich materials.
教学方法设计，以任务驱动法、小组合作学习、范例教学法、基于问题的学习为例进行教学方法设计；
Second, the teaching method, taking mission driven methods, cooperative learning groups teaching method of sample, the study based on the problem for example;
能动型学习的概念并未被准确定义：在有些场合它被用作“基于问题的学习”或者“通过行动学习”的同义语；
In the mean time the concept of Active Learning is not very clearly defined. In some instances it is used as a synonym of concepts like "problem based learning" or "learning by doing".
进化计算是基于遗传学和自然演化思想的一个解决优化、搜索和学习问题的有效方法。
Evolutionary computation is an effective method to solve optimization, search and learning problems, inspired by genetics and nature evolution.
本文基于混合学习和集成学习的思想，将这两种方法应用于支持向量机建模技术中，主要解决预测分析问题。
This paper mainly focuses on the prediction problem by the application of hybrid and ensemble thinking into the modeling base on SVM.
它基于结构风险最小化原理，能有效地解决过学习问题，具有良好的推广性和较好的分类精确性。
It based on structural risk minimization can effectively solve the over study problem and has the good extension and the better classified accuracy.
基于此，笔者选择PBL作为网络课程的教学设计模式，着重对网络课程的核心问题“学习内容”与“学习活动”的设计开发进行了探讨。
So the paper chooses the PBL as the module of ID, moreover emphasizes the design of learning contents and learning activities in web based course.
针对该问题以及现有自适应方法的不足，本文提出基于反馈学习的自适应方法。
To overcome this problem and the shortcomings of current adaptive methods, we propose a new adaptive method based on feedback learning.
除了这些学习者自身准备的问题，将基于网络的活动引入英语作为第二语言的课堂教学中还存在许多其他的复杂问题。
Beyond these issues of learner preparation, there are a number of other complexities in introducing Internet-based activities in the ESL classroom.
基于秩- 1更新，提出了稀疏贝叶斯学习算法(SBLA)。该算法具有较低的计算复杂度和较高的稀疏性，从而适合于求解大规模问题。
Based on a rank-1 update, we propose sparse Bayesian Learning Algorithm (SBLA), which has low complexity and high sparseness, thus being very suitable for large-scale problems.
第四部分是对基于问题解决的化学学习模式的构建，从基于问题解决的化学学习的涵义、模型构建、学科特点、教学策略和学习策略五个方面进行了论述。
The fourth part constructs the model of problem-solving based learning of chemistry, and discusses its meaning, its modeling, its characters, and its teaching and learning strategies.
针对连续空间下的强化学习控制问题，提出了一种基于自组织模糊rbf网络的Q学习方法。
For reinforcement learning control in continuous Spaces, a Q-learning method based on a self-organizing fuzzy RBF (radial basis function) network is proposed.
提出了一种基于统计的学习样本生成方法，使样本生成问题规范化。
An improved BP algorithm and a learning sample generation method based on statistics are performed.
针对峰值法中测量路径规划问题，提出了基于参数模型学习的神经网络预测器。
Aiming at measuring path planning by using peak value, neural network predictor based on parameter model is presented.
其次，提出了基于属性效用函数估计的学习样本构造方法，从决策问题本身抽取学习样本。
Secondly, to extract learning samples from the MADM problem, an approach to estimate the utility functions for attributes is presented.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Support vector machines (SVM) are a kind of novel machine learning methods based on statistical learning theory, which has been developed to solve classification and regression problems.
但是在人们享受着基于网络的合作学习带来的便捷的同时，其本身存在的一些问题也给学习者带来了负面影响。
When the people are enjoying the convenient what the cooperative learning based on network has brought, some questions existing in it are taking the negative effect to learner too.
基于统计学理论研究了经验风险最小化原则学习过程的一致性问题。
We describe the consistency of erm learning process instatistical learning theory .
密码技术中弹性函数的存在性与构造问题和入侵检测技术中基于机器学习的智能化改进是目前信息安全领域中的研究热点。
The existence and construction of resilient functions in Encryption and the intelligentized improvement based on Machine Learning in IDS are the focus of information security.
针对未知环境下的移动机器人导航问题，本文提出了一种基于分层式强化学习的混合式控制方法。
According to the problem of mobile robot navigation in the unknown environment, a hybrid control method based on hierarchical reinforcement learning (HRL) is proposed.
针对此问题，并基于步态能量图（GEI）在步态特征表示上的效果，提出了一种迭代切距离原型学习算法。
To solve this problem, and also based on the fact that gait energy image(GEI) is effective for feature representation, an.
本部分将从网络、青少年、学校德育三个方面具体分析基于网络的青少年道德学习面临的问题。
In this section, the problems it confronting will be analyzed from three aspects: Internet, teenagers and moral cultivation in school.
针对编队问题的具体特性，提出了基于环境的记忆学习方法，使多机器人编队系统具有较强的环境自适应能力。
For the peculiarity of team formation, an environment-based learning method is proposed to enable the system of robot team formation to have stronger adaptability to the environment.
对大规模训练样本的支持向量机训练问题进行探索，提出了一种基于正交表的并行学习算法。
Explores the training problems of support vector machine with large training pattern set, and a new parallel algorithm based on orthogonal array is presented.
讨论了基于案例的学习方法在月球探测器局部路径规划中的应用问题。
This paper presents a mobile robot part path planning scheme using case-based learning algorithm.
讨论了基于案例的学习方法在月球探测器局部路径规划中的应用问题。
This paper presents a mobile robot part path planning scheme using case-based learning algorithm.
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