Description : How the compactness of the bayesian network can be described? a) Locally structured b) Fully structured c) Partial structure d) All of the mentioned
Last Answer : a) Locally structured
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 : Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structured and function of the brain called _____. A. Machine learning B. Artificial neural networks C. Deep learning D. Robotics
Last Answer : B. Artificial neural networks
Description : Which approach to speech recognition avoids the problem caused by the differences in the way words are pronounced according to context? a) continuous speech recognition b) connected word recognition c) isolated word recognition d) speaker-dependent recognition
Last Answer : c) isolated word recognition
Description : When talking to a speech recognition program, the program divides each second of your speech into 100 separate __________ a) Codes b) Phonemes c) Samples d) Words
Last Answer : c) Samples
Description : NLP is concerned with the interactions between computers and human (natural) languages. a) True b) False
Last Answer : a) True
Description : Which of the following statement is not true? a) The union and concatenation of two context-free languages is context-free b) The reverse of a context-free language is context-free, but the ... it can be described by a regular grammar d) The intersection two context-free languages is context-free
Last Answer : d) The intersection two context-free languages is context-free
Description : Which of the following statement is true? a) Not all formal languages are context-free b) All formal languages are Context free c) All formal languages are like natural language d) Natural languages are context-oriented free
Last Answer : a) Not all formal languages are context-free
Description : The statement comprising the limitations of FOL is/are ____________ a) Expressiveness b) Formalizing Natural Languages c) Many-sorted Logic d) All of the mentioned
Last Answer : d) All of the mentioned
Description : Which of the following statement is not true? a) The union and concatenation of two context-free languages is context-free b) The reverse of a context-free language is context-free, but ... a regular language is always context-free e) The intersection two context-free languages is context-free
Last Answer : e) The intersection two context-free languages is context-free
Description : Which of the following statement is true? a) Not all formal languages are context-free b) All formal languages are Context free c) All formal languages are like natural language d) Natural languages are context-oriented free e) Natural language is formal
Description : ______ is a branch of computer science which deals with helping machines finds solutions to complex problems in a more human like fashions A. Artificial Intelligence B. Internet of Things C. Embedded System D. Cyber Security
Last Answer : A. Artificial Intelligence
Description : What is a finite set of rules that specifies a language? a) Signs b) Communication c) Grammar d) Phrase
Last Answer : c) Grammar
Description : What is defined by a set of strings? a) Signs b) Formal language c) Communication
Last Answer : b) Formal language
Description : How many things are present in conventional communication signs? a) 3 b) 4 c) 5 d) 6
Last Answer : c) 5
Description : For speech understanding systems to gain widespread acceptance in office automation, they must feature ____________ a) speaker independence b) speaker dependence c) isolated word recognition d) all of the mentioned
Last Answer : a) speaker independence
Description : Speech Segmentation is a subtask of Speech Recognition. a) True b) False
Description : Given a sound clip of a person or people speaking, determine the textual representation of the speech. a) Text-to-speech b) Speech-to-text c) All of the mentioned d) None of the mentioned
Last Answer : b) Speech-to-text
Description : Parts-of-Speech tagging determines ___________ a) part-of-speech for each word dynamically as per meaning of the sentence b) part-of-speech for each word dynamically as per sentence structure c) all part-of-speech for a specific word given as input d) all of the mentioned
Last Answer : d) all of the mentioned
Description : Which model gives the probability of each word following each other word? a) Bigram model b) Diagram model c) Gram model d) Speech model
Last Answer : a) Bigram model
Description : What is viewed as problem of probabilistic inference? a) Speech recognition b) Speaking c) Hearing d) Utterance
Last Answer : a) Speech recognition
Description : What kind of signal is used in speech recognition? a) Electromagnetic signal b) Electric signal c) Acoustic signal d) Radar
Last Answer : c) Acoustic signal
Description : What is the dominant modality for communication between humans? a) Hear b) Speech c) Smell d) None of the mentioned
Last Answer : b) Speech
Description : What kind of perception is used in printing? a) Optical character recognition b) Speech recognition c) Perception d) None of the mentioned
Last Answer : a) Optical character recognition
Description : What is the intentional exchange of information brought about by production and perception? a) Hearing b) Communication c) Speech d) None of the mentioned
Last Answer : b) Communication
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 : Where does the Hidden Markov Model is used? a) Speech recognition b) Understanding of real world c) Both Speech recognition & Understanding of real world d) None of the mentioned
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 : What enables people to recognize people, animals and inanimate objects reliably? a) Speech b) Vision c) Hear d) Perception
Last Answer : b) Vision
Description : Which of the following contains the output segments of Artificial Intelligence programming? a) Printed language and synthesized speech b) Manipulation of physical object c) Locomotion d) All of the mentioned
Description : Which of the following is not an application of learning? a) Data mining b) WWW c) Speech recognition d) None of the mentioned
Last Answer : d) None of the mentioned
Description : Playing chess, purchasing suggestions on e-commerce site, self-driving cars, speech recognition, and image recognition are the example of ____. A. Narrow AI B. General AI C. Super AI D. None of above
Last Answer : A. Narrow AI
Description : In which of the following situations might a blind search be acceptable? a) Real life situation b) Complex game c) Small search space d) All of the mentioned
Last Answer : c) Small search space
Description : Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
Last Answer : a) Linear Functions
Description : Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex ... solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.
Last Answer : d) Because it is the simplest linearly inseparable problem that exists.
Description : Neural Networks are complex ______________with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
Last Answer : b) Nonlinear Functions
Description : ____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned
Last Answer : c) Fuzzy Set
Description : Which is the complete specification of the state of the world? a) Atomic event b) Complex event c) Simple event d) None of the mentioned
Last Answer : a) Atomic event
Description : Which condition is used to cease the growth of forward chaining? a) Atomic sentences b) Complex sentences c) No further inference d) All of the mentioned
Last Answer : c) No further inference
Description : Which is used to construct the complex sentences? a) Symbols b) Connectives c) Logical connectives
Last Answer : c) Logical connectives
Description : Which is created by using single propositional symbol? a) Complex sentences b) Atomic sentences c) Composition sentences d) None of the mentioned
Last Answer : b) Atomic sentences
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 : Specify the agent architecture name that is used to capture all kinds of actions. a) Complex b) Relational c) Hybrid d) None of the mentioned
Last Answer : c) Hybrid
Description : Research scientists all over the world are taking steps towards building computers with circuits patterned after the complex interconnections existing among the human brain's nerve cells. What name ... ? a) Intelligent computers b) Supercomputers c) Neural network computers d) Smart computers
Last Answer : c) Neural network computers
Description : In which of the following situations might a blind search be acceptable? a) real-life situation b) complex game c) small search space d) all of the mentioned
Last Answer : c) small search space
Description : Neural Networks are complex ———————–with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions e) Power Functions
Description : Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. ... have to be explicitly hand-coded d) False - just having a single perceptron is enough
Last Answer : c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded