发布时间 : 星期一 文章人工智能原理MOOC习题集及答案 北京大学 王文敏更新完毕开始阅读326fadd9dc3383c4bb4cf7ec4afe04a1b071b0d4
? D.It is able to solve a task despite not having
received any training examples of that task.能够求解一个任务，即使没有得到该任务的任何训练样本。1.00/1.00
7单选(1分)Which learning paradigm does it apply storing knowledge to a different but related problem?那种学习范式把储备的强知识用于不同但相关的问题？得分/总分
? D.It receives a set of labeled data and makes
predictions for all unseen data.接收一组标注数据并对所有的未知数据做出预测。1.00/1.00
2单选(1分)Which statement best describes the paradigm of “semi-supervised learning” in machine learning?哪一个是机器学习中“半监督学习”范式的准确描述？得分/总分
? ? A.Collaborative learning协同式学习 B.Active learning主动式学习 ? A.It aims to learn some information using a limited
amount of training examples.旨在采用有限数量的训练样本来学? C.Ensemble learning集成学习 ?
D.Transfer learning迁移学习1.00/1.00
8多选(1分)Select the following true algorithms (methods) in which each one has been invented as an algorithm (method) of reinforcement learning?选择下列哪些算法（方法）已被发明为专门用于强化学习的算法。得分/总分
? A.Deep Network深度网络该题无法得分/1.00 ?
B.Neural Episodic Control神经情景控制该题无法
得分/1.00
? C.Asynchronous Advantage Actor-Critic异步优势
动作者?评论者该题无法得分/1.00
? D.Deterministic Policy Gradients确定性策略梯度
该题无法得分/1.00
1单选(1分)Which statement best describes the paradigm of “Supervised learning” in machine learning?哪一个是机器学习中“有监督学习”范式的准确描述？得分/总分
? A.It is able to solve a task despite not having
received any training examples of that task.能够求解一个任务，即使没有得到该任务的任何训练样本。
? B. It aims to learn some information using a
limited amount of training examples.旨在采用有限数量的训练样本来学习一些信息。
? C.It is a class of supervised learning that also
make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。
习一些信息。
? B.It is a class of supervised learning that also
make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。1.00/1.00
? C. It aims to learn some information from one, or
only a few, training examples.旨在从一个、或仅有的几个训练样本中学习一些信息。
? D.It receives a set of labeled data and makes
predictions for all unseen data.接收一组标注数据并对所有的未知数据做出预测。
3单选(1分)Which statement best describes the paradigm of
“unsupervised learning” in machine learning?哪一个是机器学习中“无监督学习”范式的准确描述？得分/总分
? A.It is a class of supervised learning that also
make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。
? B.It receives exclusively unlabeled data and
makes predictions for all unseen data.仅仅接收未标注数据并对所有的未知数据做出预测。1.00/1.00
? C. It aims to learn some information using a
limited amount of training examples.旨在采用有限数量的训练样本来学习一些信息。
? D.It receives a set of labeled data and makes
predictions for all unseen data.接收一组标注数据并对所有的未知数据做出预测。
4单选(1分)Which statement best describes the paradigm of “weakly supervised learning” in machine learning?哪一个是机器学习中“弱监督学习”范式的准确描述？得分/总分
? A.It is able to solve a task despite not having
received any training examples of that task.能够求解一个任务，即使没有得到该任务的任何训练样本。
? C.It aims to learn some information using a limited
amount of training examples.旨在采用有限数量的训练样本来学习一些信息。
? B.It is a class of supervised learning that also
make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。
? D.It aims to learn some information from one, or
only a few, training examples.旨在从一个、或仅有的几个训练样本中学习一些信息。
7单选(1分)Which learning paradigm does it apply storing ? C.It aims to learn some information from one, or
only a few, training examples.旨在从一个、或仅有的几个训练样本中学习一些信息。
? D.It aims to learn some information using a limited
amount of training examples.旨在采用有限数量的训练样本来学习一些信息。1.00/1.00
5单选(1分)Which statement best describes the paradigm of “one-shot learning” in machine learning?哪一个是机器学习中“一次性学习”范式的准确描述？得分/总分
? A.It receives exclusively unlabeled data and
makes predictions for all unseen data.仅仅接收未标注数据并对所有的未知数据做出预测。
? B.It aims to learn some information from one, or
only a few, training examples.旨在从一个、或仅有的几个训练样本中学习一些信息。1.00/1.00
? C.It receives a set of labeled data and makes
predictions for all unseen data.接收一组标注数据并对所有的未知数据做出预测。
? D.It aims to learn some information using a limited
amount of training examples.旨在采用有限数量的训练样本来学习一些信息。
6单选(1分)Which statement best describes the paradigm of “zero-shot learning” in machine learning?哪一个是机器学习中“零次性学习”范式的准确描述？得分/总分
? A.It is able to solve a task despite not having
received any training examples of that task.能够求解一个任务，即使没有得到该任务的任何训练样本。1.00/1.00
? B.It is a class of supervised learning that also
make use of unlabeled data for training.属于有监督学习算法一类，此外还利用未标记数据进行训练。
knowledge to a different but related problem?那种学习范式把储
备的强知识用于不同但相关的问题？得分/总分
? A.Collaborative learning协同式学习 ? B.Ensemble learning集成学习 ? C.Transfer learning迁移学习1.00/1.00 ?
D.Active learning主动式学习
8多选(1分)Select the following true algorithms (methods) in
which each one has been invented as an algorithm (method) of reinforcement learning?选择下列哪些算法（方法）已被发明为专门用于强化学习的算法。得分/总分
?
A.Deterministic Policy Gradients确定性策略梯度
0.33/1.00
? B.Behaviorist Psychology行为学派心理学 ?
C.Asynchronous Advantage Actor-Critic异步优势
动作者?评论者0.33/1.00
? D.Neural Episodic Control神经情景控制0.33/1.00
Quizzes for Chapter 12
1多选(1分)Select the following true words in which each one has been invented as a typical learning model for machine learning.从如下模型中选择已被用作机器学习的代表性模型。得分/总分
? A.Networked model网络化模型0.33/1.00 ? B.Probabilistic model概率模型0.33/1.00 ? C.Logical model逻辑模型0.33/1.00 ?
D.Lifecycle model生命周期模型
2多选(1分)Select the following true phrases in which each one has been invented as a probabilistic model for machine learning. 从如下短语中选择已被用作机器学习的概率模型。得分/总分
? ?
0.33/1.00
C.Long short-term memory长短期记忆0.33/1.00 D.Convolutional neural network卷积神经网络
? ?
0.25/1.00
A.Gaussian processes高斯过程0.25/1.00 B.Hidden Markov models隐藏马可夫模型
6填空(1分)The probabilistic model is to use probability theory to express all ________________.概率模型是采用概率论来表示所有________________。
C.Probabilistic program概率规划0.25/1.00 D.Naive Bayes and Bayes Network朴素贝叶斯和
不确定性的形式 1.00/1.00
7填空(1分)A geometric model is constructed directly in instance
? ?
space which can be thought as the ________________ such as 贝叶斯网络0.25/1.00
3多选(1分)Which of the following algorithms are true ones used by manifold learning?下列哪些是真正被流形学习所使用的算法？得分/总分
?
A.SVM (Support Vector Machine)SVM（支撑向量
机）
?
B.PCA (Principal Component Analysis)PCA（主成
分分析）
?
C.LE (Laplacian Eigenmaps)LE（拉普拉斯特征映
射）0.50/1.00
?
D.Isomap (Isometric mapping)Isomap（等距映射）
0.50/1.00
4多选(1分)Select the following phrases in which each one has truly been invented or used as a logical model for machine learning.从如下短语中选择真正地被发明为或被用作机器学习逻辑模型的方法。得分/总分
? A.Association rules关联规则0.33/1.00
? B.First-order logic一阶逻辑0.33/1.00
? C.Linear regression线性回归
?
D.Decision tree决策树0.33/1.00
5多选(1分)Which of the following phrases are the artificial neural networks truly used in machine Learning?下列短语哪些是真正用于机器学习的人工神经网络？得分/总分
? A.Wireless network无线网络
?
B.Deep auto-encoder深度自动编码器0.33/1.00
Euclidean space or Riemannian space.几何模型直接在实例空间构建，该空间可被认为是________________，例如：欧几里德空间或黎曼空间。 几何的概念 1.00/1.00
8填空(1分)The logical models are defined in terms of easily interpretable ______________, or can be easily translated into
rules that are understandable by humans.逻辑模型被定义为易
于解释的______________，或者易于转换成人类能够理解的规则。
逻辑表达式 1.00/1.00
9填空(1分)An artificial neural network is an artificial
representation of the ____________ that tries to simulate its learning processing. 人工神经网络是一种____________的人工表示，试图仿真其学习过程。 人脑 1.00/1.00
1多选(1分)Select the following true words in which each one has been invented as a typical learning model for machine learning.从如下模型中选择已被用作机器学习的代表性模型。得分/总分
?
A.Logical model逻辑模型0.25/1.00 ?
B.Networked model网络化模型0.25/1.00 ?
C.Probabilistic model概率模型0.25/1.00 ?
D.Geometric model几何模型0.25/1.00
2多选(1分)Select the following true phrases in which each one has been invented as a probabilistic model for machine learning.从如下短语中选择已被用作机器学习的概率模型。得分/总分
?
A.Gaussian processes高斯过程0.25/1.00
?
0.25/1.00
B.Hidden Markov models隐藏马可夫模型?
D.Long short-term memory长短期记忆0.33/1.00
? ?
C.Probabilistic program概率规划0.25/1.00 D.Naive Bayes and Bayes Network朴素贝叶斯和
贝叶斯网络0.25/1.00 3 多选(1分)
Which of the following algorithms are true ones used by manifold learning?下列哪些是真正被流形学习所使用的算法？得分/总分
? A.LE (Laplacian Eigenmaps)LE（拉普拉斯特征映
射）0.50/1.00
?
分分析）
B.PCA (Principal Component Analysis)PCA（主成
?
0.50/1.00
C.Isomap (Isometric mapping)Isomap（等距映射）
?
机）
D.SVM (Support Vector Machine)SVM（支撑向量
4多选(1分)Select the following phrases in which each one has truly been invented or used as a logical model for machine learning.从如下短语中选择真正地被发明为或被用作机器学习逻辑模型的方法。得分/总分
? ? ? ?
A.First-order logic一阶逻辑0.33/1.00 B.Adaptive boosting自适应性提升 C.Decision tree决策树0.33/1.00 D.Association rules关联规则0.33/1.00
5多选(1分)Which of the following phrases are the artificial neural networks truly used in machine Learning?下列短语哪些是真正用于机器学习的人工神经网络？得分/总分
? ? ?
A.Deep auto-encoder深度自动编码器 B.Convolutional neural network卷积神经网络 C.Wireless network无线网络