他死记硬背的学习方法使他在工作中不能灵活处理问题。
His poor method of learning by rote made him unable to deal with the problems in his work flexibly.
在下一个10年或15年里，我们几乎会肯定地看到强大的压力迫使学校负责思考什么样的学习方法适合每一个学生这个问题。
In the next 10 or 15 years we will almost certainly see strong pressures to make schools responsible for thinking through what kind of learning methods are appropriate for each child.
上网问问题是最好的学习方法。
除了在工作中观察别人，或许最佳的学习方法就是提出问题，尤其是合适的问题。
Aside from observing people at work, there is probably no better way of learning than by asking questions, especially the right questions.
论文将支持向量机的机器学习方法引入到医学图像的分类问题。
In this thesis, SVM as a new machine learning method is brought into medical image classification.
文中简单地介绍了自组织神经网络，并针对地震同相轴追踪这一具体问题，设计了相应的学习方法。
The self-organizing neural network is introduced simply here. In connection with the concrete problem of seismic event tracking, we design a corresponding learning method.
本文论述了有关语言输入、阅读和听力的问题，并就如何掌握正确的学习方法做了系统介绍。
This paper deals with the problems of language input, reading and listening, and it also makes a systematic introduction on how to study correctly.
那是学习方法的问题。
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.
问题是，回忆某些知识需要学习，我们的学习方法各有不同。
The problem is that recalling something requires learning, and we all learn in different ways.
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.
针对大学英语词汇教学中出现的词汇记忆难、运用难的问题，分析其问题的原因，并在实践的基础上提出相关的学习方法和策略。
Aiming at the problems of remembering and applying of words in the college English vocabulary teaching, the paper analyses the reasons and then raises some study methods and strategies.
讨论了目前机械压力机滑块位置控制中普遍存在的问题，分析了迭代学习方法在压力机滑块位置控制中应用的可行性。
Common problems consisting in the slide position control in the current mechanical press are discussed, and the feasibility of using the iterative learning method is analyzed.
支持向量机是统计学习理论的一个重要学习方法，也是解决模式识别问题的一个有力工具。
Support Vector Machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition.
文章就专科层次大学生英语词汇学习存在的问题做了调查，发现了在学习目的、学习方法等方面的问题。
So an investigation has been made on the problems of the college students English vocabulary learning, finding the problems in the motivation and learning strategies.
方法采用以问题为基础的学习方法(PBL)进行护理查房，并与传统查房模式相比较。
Methods the problem based learning (PBL) was used during the ICU nursing ward round and compared with conventional ward round mode.
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.
特征权重学习是基于特征赋权的K近邻算法需要解决的重要问题之一，传统上提出了许多启发式的学习方法。
Feature weighting is one of the important problems for feature weighting based KNN algorithm, and many heuristic methods have been employed to solve the problem traditionally.
作为一种新的机器学习方法，SV M能较好地解决小样本、非线性、高维数和局部极小点等实际问题。
As a new machine learning method, SVM can solve the small sample, nonlinear, high dimension and local minima, the actual problem.
本文结合机器人路径规划问题介绍了增强式学习方法，实现了动态环境中基于增强式学习的自适应路径规划。
To solve the robots path planning problem in dynamic environment, this paper applies adaptive learning to path planning based on reinforcement learning.
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.
本文讨论了利用半监督学习方法进行视频语义标注的问题。
In this paper, we discuss the problem of using semi-supervised learning method to do video semantic annotation.
通过提出问题、分析问题、解决问题来理解和掌握知识，是一种非常有效的学习方法。
Through the question, the analysis problem, problem-solving to understand and master knowledge, is a very effective way of learning.
针对大规模高维气体分析样本难以计算的问题，提出一种提升的支持向量机学习方法。
An incremental training method for support vector machine is proposed to alleviate the computing burden of large-scale, high-dimension samples in multi-component gas analyzing.
支持向量机是一种基于统计学习理论的机器学习方法，它解决了神经网络中存在的一系列问题。
Support Vector Machine(SVM) is a machine learning method based on Statistical Learning Theory. It can solve a series of issues of Neural Networks.
采用Q学习方法进行磁钉路径的智能规划，实现最短路径寻找，同时解决了任务调度及避障等问题。
Q learning method is used in intelligence planning path with magnets to achieve the shortest path search, obstacle avoidance, task scheduling and so on.
支持向量机方法较好地解决了许多学习方法面临的小样本、非线性和局部极小点等问题，具有很好的应用前景。
SVM solves practical problems such as small samples, nonlinearity, local minima, which exist in most of learning methods, and has a bright future.
支持向量机是统计学习理论的一个重要的学习方法，也是解抉模式识别问题的一个有力的工具。
Support vector machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition problems.
支持向量机是统计学习理论的一个重要的学习方法，也是解抉模式识别问题的一个有力的工具。
Support vector machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition problems.
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