Artificial Intelligence MCQs

Page No. 53

Which reveals an improvement in online smoothing?


aMatrix formulation


bRevelation


cHMM


dNone of the mentioned


View Answer Matrix formulation

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


aSmoothing


bModified smoothing


cHMM


dDepth-first search algorithm


View Answer Modified smoothing

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


aSingle variable


bDiscrete state variable


cRandom variable


dBoth Single & Discrete state variable



Where does the Hidden Markov Model is used?


aSpeech recognition


bUnderstanding of real world


cBoth Speech recognition & Understanding of real world


dNone of the mentioned


View Answer Speech recognition

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


aHMM


bRestricted structure of HMM


cTemporary model


dReality model



Where does the additional variables are added in HMM?


aTemporal model


bReality model


cProbability model


d All of the mentioned


View Answer Temporal model

What are the possible values of the variable?


aVariables


bLiterals


cDiscrete variable


d Possible states of the world



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


aLiteral


bSingle random variable


cSingle discrete random variable


dNone of the mentioned



Which algorithm is used for solving temporal probabilistic reasoning?


aHill-climbing search


bHidden markov model


cDepth-first search


dBreadth-first search


View Answer Hidden markov model

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


a(constant < sconst > < object >)


b(defconstant < sconst > < object >)


c(eva < object >)


d(eva < object > < sconst >)



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