WBJECA 2025 Computer PYQ — Hidden Markov Models assume the system is:… | Mathem Solvex | Mathem Solvex
Tip:A–D to answerE for explanationV for videoS to reveal answer
WBJECA 2025 — Computer PYQ
WBJECA | Computer | 2025
Hidden Markov Models assume the system is:
Choose the correct answer:
A.
Deterministic
B.
Linear
C.
Stochastic
(Correct Answer)
D.
Static
Correct Answer:
Stochastic
Explanation
Correct Option: (C) Stochastic
Explanation
A Hidden Markov Model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden) states.
Stochastic Nature: HMMs are fundamentally stochastic processes. Unlike deterministic models where the state transitions and outputs are fixed and predictable based on the current state, HMMs deal with probabilities. They model systems where the transition between states and the generation of observations are governed by probability distributions.
P(O∣S) and P(St∣St−1) represent probability distributions
Explanation
Correct Option: (C) Stochastic
Explanation
A Hidden Markov Model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden) states.
Stochastic Nature: HMMs are fundamentally stochastic processes. Unlike deterministic models where the state transitions and outputs are fixed and predictable based on the current state, HMMs deal with probabilities. They model systems where the transition between states and the generation of observations are governed by probability distributions.
P(O∣S) and P(St∣St−1) represent probability distributions
