Artificial Intelligence MCQs

Page No. 53

Which reveals an improvement in online smoothing?


aMatrix formulation

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bRevelation

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cHMM

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dNone of the mentioned

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View Answer Matrix formulation

Which algorithm works by first running the standard forward pass to compute?


aSmoothing

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bModified smoothing

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cHMM

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dDepth-first search algorithm

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View Answer Modified smoothing

Which variable can give the concrete form to the representation of the transition model?


aSingle variable

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bDiscrete state variable

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cRandom variable

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dBoth Single & Discrete state variable

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Where does the Hidden Markov Model is used?


aSpeech recognition

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bUnderstanding of real world

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cBoth Speech recognition & Understanding of real world

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dNone of the mentioned

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View Answer Speech recognition

Which allows for a simple and matrix implementation of all the basic algorithm?


aHMM

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bRestricted structure of HMM

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cTemporary model

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dReality model

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Where does the additional variables are added in HMM?


aTemporal model

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bReality model

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cProbability model

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d All of the mentioned

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View Answer Temporal model

What are the possible values of the variable?


aVariables

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bLiterals

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cDiscrete variable

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d Possible states of the world

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How does the state of the process is described in HMM?


aLiteral

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bSingle random variable

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cSingle discrete random variable

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dNone of the mentioned

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Which algorithm is used for solving temporal probabilistic reasoning?


aHill-climbing search

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bHidden markov model

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cDepth-first search

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dBreadth-first search

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View Answer Hidden markov model

In LISP, the function evaluates < object > and assigns this value to the unevaluated < sconst >.


a(constant < sconst > < object >)

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b(defconstant < sconst > < object >)

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c(eva < object >)

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d(eva < object > < sconst >)

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