How does the state of the process is described in HMM?a) Literalb) Single random variablec) Single discrete random variabled) None of the mentioned

Markov process is a stochastic process in which the future state solely depends on the current state only.Select one:TrueFalse

What is a state in a Markov decision process (MDP)?Select one:a.A possible outcome of an actionb.A representation of the current situationc.A representation of the future situationd.A representation of the past situation

HMM: Three Problems• What is the probability of generatingan observation sequence?– Model evaluation• Given observation, what is the mostprobable transition sequence?– Segmentation or path analysis• How do we estimate or optimizethe parameters of an HMM?– Training problem0.6 0.61 30.30.20.2 0.60.320.1 0.1P( )?0.6 0.61 30.30.20.2 0.60.320.1 0.12 2 2 21 32?)|,,,( 21 ==λTxxxXP L)|,(maxarg ),,(*1λXQPQ TqqQ L==))',','('|()),,(|(πλπλ BAXPBAXP =<=

What are the components of a Markov decision process (MDP)?Select one:a.States, actions, and rewardsb.States, outcomes, and rewardsc.States, actions, and costsd.States, outcomes, and costs

Which of the following best describes a Hidden Markov Model (HMM)?<br /> A. a. A generative model <br />B. b. A discriminative model <br />C. c. A deterministic model <br />D. d. A rule-based model