Markov Chains and Algo Applications

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Related lectures (32)

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Markov Chains and Algorithm Applications

Covers the application of Markov chains and algorithms for function optimization and graph colorings.

MCMC Examples and Error Estimation

Covers Markov Chain Monte Carlo examples and error estimation methods.

Markov Chains: Ergodic Chains Examples

Covers stochastic models for communications, focusing on discrete-time Markov chains.

Discrete-Time Markov Chains: Definitions

Covers the definitions and state probabilities of discrete-time Markov chains.

Equilibrium of Markov Chains

Explores equilibrium in Markov Chains, covering invariant distributions, properties determination, and practical applications.

Markov Chains: Ergodic Chains Examples

Covers stochastic models for communications, focusing on discrete-time Markov chains.

Quantum Entropy: Markov Chains and Bell States

Explores quantum entropy in Markov chains and Bell states, emphasizing entanglement.

Tagging (a.k.a. Sequence labeling)

Covers lemmatization, PoS tagging, sequence labeling, and probabilistic PoS tagging using HMMs for performance evaluation.

Markov Chains Decomposition

Explores the decomposition of Markov chains into communicating classes and the behavior of long-run averages.

Markov Chains: Transition Densities

Covers Markov processes, transition densities, and distribution conditional on information, discussing classification of states and stationary distributions.