Description : Different learning method does not include: a) Memorization b) Analogy c) Deduction d) Introduction
Last Answer : d) Introduction
Description : What is the purpose of memorization?
Last Answer : Memorization used in computer science to speed up programs by saving the results of computation. The basic idea of memo function is to accumulate a database of input and output pairs, when the function is called; it first checks the database to see whether it can avoid solving the problem.
Description : How many literals are available in top-down inductive learning methods? a) 1 b) 2 c) 3 d) 4
Last Answer : c) 3
Description : What are the methods for maximum likelihood parameter learning?
Last Answer : i. Write down an expression for the likelihood of the data as a function of the parameter. ii. Write down the derivative of the log likelihood with respect to each parameter. iii. Find the parameter values such that the derivatives are zero.
Description : Which is the only way to learn about the different kinds of human faces? a) Perception b) Speech c) Learning d) Hearing
Last Answer : c) Learning
Description : Generality is the measure of _____________ a) Ease with which the method can be adapted to different domains of application b) The average time required to construct the target knowledge structures ... unreliable feedback and with a variety of training examples d) The overall power of the system
Last Answer : a) Ease with which the method can be adapted to different domains of application
Description : Evolutionary computation is A . Combining different types of method or information B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution. C. ... the knowledge of an expert formulated in terms of if-then rules. D . None of these
Last Answer : B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.
Description : Expert systems A . Combining different types of method or information B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution C. an information base ... the knowledge of an expert formulated in terms of if-then rules D . None of these
Last Answer : C. an information base filled with the knowledge of an expert formulated in terms of if-then rules
Description : How is Fuzzy Logic different from conventional control methods? a) IF and THEN Approach b) FOR Approach c) WHILE Approach d) DO Approach
Last Answer : a) IF and THEN Approach
Description : Conventional Artificial Intelligence is different from soft computing in the sense A. Conventional Artificial Intelligence deal with prdicate logic where as soft computing deal with fuzzy logic B. Conventional Artificial ... empirical data C. Both (a) and (b) D. None of the above
Last Answer : C. Both (a) and (b
Description : How is Fuzzy Logic different from conventional control methods? a) IF and THEN Approach b) FOR Approach c) WHILE Approach d) DO Approach e) Else If approach
Description : Are there efficient ways to remember vocabulary words other then by memorization?
Last Answer : I have done studies over this and it really depends on the individual. I have found that most people do so much better when they write the word several times on paper. I know it sounds elementary but this is one of the most effective ways of doing it.
Description : What are some of the best memorization techniques?
Last Answer : Most memorization techniques involve sayings or phrases pertaining to the information you need to remember. I am partial to sayings that invole individual letters making up a word.
Description : Which can be described as an ideal teaching technique? Options: A) Repetitive drill and rote memorization B) Using props and manipulative to help students understand abstract concept. C) Encouraging in group discussion for logical thinking. D) both (b) and (c)
Last Answer : D) both (b) and (c)
Description : What type of test is most effective when trying to test memorization? Options: A) True / false B) Multiple choices C) Fill in blanks D) B and C
Last Answer : D) B and C
Description : Which of the following methods of structural analysis is a displacement method? (A) Moment distribution method (B) Column analogy method (C) Three moment equation (D) None of the above
Last Answer : (A) Moment distribution method
Description : Which of the following methods of structural analysis is a force method? (A) Slope deflection method (B) Column analogy method (C) Moment distribution method (D) None of the above
Last Answer : (B) Column analogy method
Description : The characteristics of the computer system capable of thinking, reasoning and learning are known as ____________ a) machine intelligence b) human intelligence c) artificial intelligence d) virtual intelligence
Last Answer : c) artificial intelligence
Description : Modern NLP algorithms are based on machine learning, especially statistical machine learning. a) True b) False
Last Answer : a) True
Description : Computational learning theory analyzes the sample complexity and computational complexity of __________ a) Unsupervised Learning b) Inductive learning c) Forced based learning d) Weak learning
Last Answer : b) Inductive learning
Description : Inductive learning involves finding a __________ a) Consistent Hypothesis b) Inconsistent Hypothesis c) Regular Hypothesis d) Irregular Hypothesis
Last Answer : a) Consistent Hypothesis
Description : . In an Unsupervised learning ____________ a) Specific output values are given b) Specific output values are not given c) No specific Inputs are given d) Both inputs and outputs are given
Last Answer : b) Specific output values are not given
Description : Which of the following is also called as exploratory learning? a) Supervised learning b) Active learning c) Unsupervised learning d) Reinforcement learning
Last Answer : c) Unsupervised learning
Description : Which of the following is the component of learning system? a) Goal b) Model c) Learning rules d) All of the mentioned
Last Answer : d) All of the mentioned
Description : In which of the following learning the teacher returns reward and punishment to learner? a) Active learning b) Reinforcement learning c) Supervised learning d) Unsupervised learning
Last Answer : b) Reinforcement learning
Description : Which of the following is an example of active learning? a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned
Last Answer : a) News Recommender system
Description : Automated vehicle is an example of ______ a) Supervised learning b) Unsupervised learning c) Active learning d) Reinforcement learning
Last Answer : a) Supervised learning
Description : Which is used to choose among multiple consistent hypotheses? a) Razor b) Ockham razor c) Learning element d) None of the mentioned
Last Answer : b) Ockham razor
Description : How many types are available in machine learning? a) 1 b) 2 c) 3 d) 4
Description : What is used in determining the nature of the learning problem? a) Environment b) Feedback c) Problem d) All of the mentioned
Last Answer : b) Feedback
Description : How many things are concerned in the design of a learning element? a) 1 b) 2 c) 3 d) 4
Description : Which modifies the performance element so that it makes better decision? a) Performance element b) Changing element c) Learning element d) None of the mentioned
Last Answer : c) Learning element
Description : What will take place as the agent observes its interactions with the world? a) Learning b) Hearing c) Perceiving d) Speech
Last Answer : a) Learning
Description : Which method is used to search better by learning? a) Best-first search b) Depth-first search c) Metalevel state space d) None of the mentioned
Last Answer : c) Metalevel state space
Description : Which is used to provide the feedback to the learning element? a) Critic b) Actuators c) Sensor d) None of the mentioned
Last Answer : a) Critic
Description : What kind of observing environments are present in artificial intelligence? a) Partial b) Fully c) Learning d) Both Partial & Fully
Last Answer : d) Both Partial & Fully
Description : What can operate over the joint state space? a) Decision-making algorithm b) Learning algorithm c) Complex algorithm d) Both Decision-making & Learning algorithm
Last Answer : d) Both Decision-making & Learning algorithm
Description : Which element in the agent are used for selecting external actions? a) Perceive b) Performance c) Learning d) Actuator
Last Answer : b) Performance
Description : Which agent deals with happy and unhappy states? a) Simple reflex agent b) Model based agent c) Learning agent d) Utility based agent
Last Answer : d) Utility based agent
Description : Which is used to improve the agents performance? a) Perceiving b) Learning c) Observing d) None of the mentioned
Last Answer : b) Learning
Description : In which agent does the problem generator is present? a) Learning agent b) Observing agent c) Reflex agent d) None of the mentioned
Last Answer : a) Learning agent
Description : What is Machine learning? a) The autonomous acquisition of knowledge through the use of computer programs b) The autonomous acquisition of knowledge through the use of manual programs c) The ... use of computer programs d) The selective acquisition of knowledge through the use of manual programs
Last Answer : a) The autonomous acquisition of knowledge through the use of computer programs
Description : Shaping teaching techniques to fit the learning patterns of individual students is the goal of __________ a) decision support b) automatic programming c) intelligent computer-assisted instruction d) expert systems
Last Answer : c) intelligent computer-assisted instruction
Description : The action of the Simple reflex agent completely depends upon __________ a) Perception history b) Current perception c) Learning theory d) Utility functions
Last Answer : b) Current perception
Description : External actions of the agent is selected by __________ a) Perceive b) Performance c) Learning d) Actuator
Description : The performance of an agent can be improved by __________ a) Learning b) Observing c) Perceiving d) None of the mentioned
Description : Membership function can be thought of as a technique to solve empirical problems on the basis of A. knowledge B. examples C. learning D. experience
Last Answer : D. experience
Description : In supervised learning A. classes are not predefined B. classes are predefined C. classes are not required
Last Answer : B. classes are predefined
Description : Unsupervised learning is A. learning without computers B. problem based learning C. learning from environment D. learning from teachers
Last Answer : C. learning from environment