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.
您可以学习从整体上把握缺陷模式的方法，这样在您编写代码或检查代码时就能够发现一些特定的问题线索。
You can learn to recognize bug patterns as the sum of their parts, so that certain signals will act as red flags when you're writing code or during code reviews.
幸运的是，应用程序设计人员学习并记录了一种好方法，可以使用ClaimCheck模式处理这个问题。
Fortunately, application designers have learned and documented a good technique to handle this problem by using the Claim Check pattern.
针对在敏捷团队中如何处理测试和需求的问题，它很好地平衡了各种模式，提供了真实的案例学习。
It is a good balance of patterns and real case studies on how testing and specifications should be approached in an agile world.
由于模式常可解决常见问题，正确的模式可以便于用户对界面的熟悉并加快他们的学习速度。
Because patterns often solve common problems, the right pattern can facilitate the user's familiarity with an interface and increase the speed at which they learn it.
“设计模式”一书的合著者RalphJohnson谈到了并行编程的宏观结构及其能解决的问题，并向我们介绍如何更好地学习并行编程。
"Design Patterns" co-author Ralph Johnson explains the overall structure of parallel programming, what kinds of problems it solves, and tell you how you can learn more about it.
在完成本书的学习后，你将可以编写代码来使用神经网络和深度学习来解决复杂的模式识别问题。
After working through the book you will have written code that USES neural networks and deep learning to solve complex pattern recognition problems.
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.
自主学习模式在高职英语教学中起着越来越重要的作用，但是在实践过程中出现了较多的问题。
The autonomous learning mode plays the more and more important role in vocational colleges English teaching, but some problems arise during the practice process.
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.
以建构主义学习理论为指导的情景教学模式是建立在真实问题的基础上。
Situational context teaching mode guided by the structuralism learning theory is based on the true problems.
第四章是本文的核心，主要内容是虚拟型学习团队的构建因素、构建方法、面临问题和构建模式的研究。
The main content is do research in constructing factors, constructing methods, constructing patterns, facing questions of the virtual study team.
由于模式识别、机器学习等问题的复杂性比较高，数据分布通常呈现多模态分布。
Since the data samples in machine learning and pattern recognition problems generally distribute in multi-modal distribution, this thesis proposed a prototype based feature ranking model.
提出一个基宽度可调的RBF神经网络学习算法，并将它应用于个股走势模式的分类问题。
This paper presents a learning algorithm for a RBF neural network with adjustable radial basis width and discusses its application in the classification problem of share tendency patterns.
在低维空间描述高维数据是数据分析、模式识别、机器学习、计算机视觉等领域的基础问题之一。
Representation the high-dimensional data in a low-dimensional subspace is one of the fundamental problems in data analysis, pattern recognition, machine learning, and computer vision.
这意味着回答问题、出错、发现错在哪儿以及改正的过程是最聪明的学习模式。
This means that the process of trying to answer questions, getting questions wrong, discovering why you were wrong, and correcting yourself-is the smartest study strategy of all.
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.
网络环境下学习评价新模式的探索是一个难点问题。
It is a difficult issue to explore new mode of learning assessment in web-based environment.
而当今在欧美流行的合作学习模式为我们解决这一问题提供了契机。
However, cooperative learning model, which is very popular in western countries, provides us with possible solution to this problem.
决策树学习策略广泛应用于模式识别和机器学习等领域，用来解决与分类相关的问题。
Decision tree learning strategy have long been popular in pattern recognition, machine learning, and other disciplines for solving problems concerned with the classification.
特征选择是模式识别和机器学习领域的重要问题。
Feature selection is an important problem in the pattern recognition and machine learning areas.
这一模式与我们传统的培训模式有很大不同，它所关注的问题解决、能力培养和参与性学习等非常适合于校长培训。
This model of training is quite different from the traditional one. The problem-solving, ability-cultivating and participation-studying it focuses on are quite suitable for principal training.
从分析网络学习因素的角度出发，提出了利用数据融合理论和使用移动代理技术解决网络学习模式识别的问题。
This paper presents a method of solving the problem of network study pattern recognition based on data fusion theory and mobile agent (MA) technology in view of network study factors.
支持矢量回归方法可以在给定的资料中生成一个简洁的回归模式，以避免常规机器学习法中的资料过度学习问题。
The support vector approach learns a parsimonious regression model from the given data to avoid the data over-fitting problem.
在创业教育领域引入网络学习尚处于探索阶段，对于创业问题的网络培训，需要引入崭新的视角和全新的模式。
For E-learning in the entrepreneurial learning field is still at its explorative phase, new perspective and study mode need to be included.
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.
通过问题解决教学理论的实践研究表明：（1）问题解决教学是贯穿于综合理科学习的策略，而不是一种固定的模式；
Our research shows that: (1) Teaching of problem solving is a kind of strategy, which is involved in the process of integrated science, not a rot mode!
“问题学习法”是国外流行的一种新的教学模式。
The problem-based learning method is a new teaching model that is popular abroad now.
“问题学习法”是国外流行的一种新的教学模式。
The problem-based learning method is a new teaching model that is popular abroad now.
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