Description : How many terms are required for building a bayes model? a) 1 b) 2 c) 3 d) 4
Last Answer : c) 3
Description : In Bayes theorem, what is meant by P(Hi|E)? a) The probability that hypotheses Hi is true given evidence E b) The probability that hypotheses Hi is false given evidence E c) The probability ... Hi is true given false evidence E d) The probability that hypotheses Hi is false given false evidence E
Last Answer : a) The probability that hypotheses Hi is true given evidence E
Description : Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query
Last Answer : d) Answering probabilistic query
Description : Give the Baye's rule equation
Last Answer : W.K.T P(A ^ B) = P(A/B) P(B) -------------------------- 1 P(A ^ B) = P(B/A) P(A) -------------------------- 2 DIVIDING BY P(A) ; WE GET P(B/A) = P(A/B) P(B) -------------------- P(A)
Description : Olive Oyl: A ditzy naïve woman who just wants to find love and doesn’t realize all the trouble she’s causing? Or is she a trouble making skank, who gets off on watching men fight each other for her affection?
Last Answer : answer:Can’t she be both? Neither Popeye nor Bluto are real catches. I wonder about her insecurity and self-image if those are the only two guys she can feel comfortable with. She can do better. I suppose in the end, her choice will be based on whether or not she likes the taste of spinach.
Description : Antigens that bind directly to MHC proteins without any processing are known as _____. a. epitopes b. haptens c. superantigens d. naïve cells
Last Answer : c. superantigens
Description : The component of an ICAI (Intelligent Computer Assisted Instruction) presenting information to the student is the? a) Student model b) Problem solving expertise c) Tutoring module d) All of the mentioned
Last Answer : c) Tutoring module
Description : The explanation facility of an expert system may be used to ____________ a) construct a diagnostic model b) expedite the debugging process c) explain the system’s reasoning process d) explain the system’s reasoning process & expedite the debugging process
Last Answer : d) explain the system’s reasoning process & expedite the debugging process
Description : Which are partially captured by triphone model? a) Articulation effects b) Coarticulation effects c) Both Articulation & Coarticulation effects d) None of the mentioned
Last Answer : b) Coarticulation effects
Description : Which is used to capture the internal structure of the phones? a) One-state phone model b) Two-state phone model c) Three-state phone mone d) All of the mentioned
Last Answer : c) Three-state phone mone
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 : Which specifies the prior probability of each utterance? a) Sound model b) Model c) Language model
Last Answer : c) Language model
Description : Which of the following are the advantage/s of Decision Trees? a) Possible Scenarios can be added b) Use a white box model, If given result is provided by a model c) Worst, best and expected values can be determined for different scenarios d) All of the mentioned
Last Answer : d) All of the mentioned
Description : A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. a) Decision tree b) Graphs c) Trees d) Neural Networks
Last Answer : a) Decision tree
Description : Which of the following is the component of learning system? a) Goal b) Model c) Learning rules d) All of the mentioned
Description : Which variable can give the concrete form to the representation of the transition model? a) Single variable b) Discrete state variable c) Random variable d) Both Single & Discrete state variable
Last Answer : d) Both Single & Discrete state variable
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
Last Answer : a) Speech recognition
Description : Which allows for a simple and matrix implementation of all the basic algorithm? a) HMM b) Restricted structure of HMM c) Temporary model
Last Answer : b) Restricted structure of HMM
Description : Where does the additional variables are added in HMM? a) Temporal model b) Reality model c) Probability model d) All of the mentioned
Last Answer : a) Temporal model
Description : Which algorithm is used for solving temporal probabilistic reasoning? a) Hill-climbing search b) Hidden markov model c) Depth-first search d) Breadth-first search
Last Answer : b) Hidden markov model
Description : α |= β ‘(to mean that the sentence α entails the sentence β) if and only if, in every model in which α is _____ β is also _____ a) True, true b) True, false c) False, true
Last Answer : a) True, true
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 : A model of language consists of the categories which does not include? a) Language units b) Role structure of units c) System constraints d) Structural units
Last Answer : d) Structural units
Description : The explanation facility of an expert system may be used to __________ a) construct a diagnostic model b) expedite the debugging process c) explain the system’s reasoning process d) expedite the debugging process & explain the system’s reasoning process
Last Answer : d) expedite the debugging process & explain the system’s reasoning process
Description : A computer vision technique that relies on image templates is __________ a) edge detection b) binocular vision c) model-based vision d) robot vision
Last Answer : c) model-based vision
Description : Neurons or artificial neurons have the capability to model networks of original neurons as found in brain A. True B. False
Last Answer : A. True
Description : Which of the following is the model used for learning? a) Decision trees b) Neural networks c) Propositional and FOL rules d) All of the mentioned
Description : What are the tasks in probabilistic language model?
Last Answer : i. Information retrieval ii. Information Extraction iii. Machine Translation
Description : What are the 2 steps in mixture model parameters?
Last Answer : i. E – Step ii. M – Step
Description : Chomsky’s linguistic computational theory generated a model for syntactic analysis through __________ A. Regular Grammar B. Regular Expression C. Regular Word D. None of these
Last Answer : A. Regular Grammar
Description : _____ model were developed and incorporated in machines which mimicked the functionalities of human origin. A. Functional model B. Neural model C. Computational model D. None of above
Last Answer : C. Computational model
Description : The concept derived from ________ level are propositional logic, tautology, predicate calculus, model, temporal logic. A. Cognition level B. Logic level C. Functional level D. All of above
Last Answer : B. Logic level
Description : _____ Model should reflect how results were obtained. A. Design model B. Logic model C. Computational model D. None of above
Description : The initial state and the legal moves for each side define the __________ for the game. a) Search Tree b) Game Tree c) State Space Search d) Forest
Last Answer : b) Game Tree
Description : Define Information Extraction.
Last Answer : It is a process of creating database entries by skimming a text and looking for occurrences of a particular class of object.
Description : Define Information Retrieval (IR).
Last Answer : IR is the task of finding documents that are relevant to user’s need for information.
Description : Define Segmentation?
Last Answer : The process of finding the words boundaries in a text with no spaces.
Description : Define Discourse understanding.
Last Answer : A discourage is any string of language usually one that is more than one sentence long.
Description : Define Disambiguation.
Last Answer : The speaker’s aim is to communicate some words in utterance and hearer work is to get back the meaning of the world from the knowledge of situation.
Description : Define Ambiguity.
Last Answer : The sentence that does not provide exact meaning are called ambiguous sentence.
Description : Define Sub categorization.
Last Answer : E 2 eliminates VP by mentioning which phrases can allow which verbs which are known as sub categorization.
Description : Define DCG.
Last Answer : The method of rewriting the existing rules in the grammar by the method of augmentation is called as DCG (Define Clause Grammar).
Description : Define Augmentation.
Last Answer : The process of adding the existing rules of a grammar instead of introducing new rules. It is called Augmentation.
Description : Define Bottom up parsing.
Last Answer : We start from the leaf nodes (i.e.) with the words and search for a tree with root S.
Description : Define Top down parsing.
Last Answer : It starts with root node S and search for a tree that has the words as it leaves.
Description : Define Parsing.
Last Answer : Parsing is the process of finding a parse tree for a given input string. It is also known as syntactic analysis.
Description : Define Semantic Interpretation.
Last Answer : The process of extracting the meaning of an utterance an expression in some representation language.
Description : Define Formal Language.
Last Answer : A formal language is defined as a set of strings of terminal symbols. It is called as words.
Description : Define Language.
Last Answer : Language enables us to communicate most of what we have observed about the environment.