Markov Chains and Algorithm Applications

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Markov Chains and Algorithm Applications

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

Markov Chains and Applications

Explores Markov chains, their properties, and algorithmic applications, emphasizing information quantification and state monotonicity.

Generation and Recombination

Explores the fundamental concepts of generation and recombination in semiconductors for photovoltaic devices.

Hidden Markov Models: Primer

Introduces Hidden Markov Models, explaining the basic problems and algorithms like Forward-Backward, Viterbi, and Baum-Welch, with a focus on Expectation-Maximization.

Groups & Subgroups: Definitions, Theorems, and Morphisms

Covers the fundamental concepts of groups and subgroups, including definitions, theorems, and morphisms.

Markov Chains and Applications

Explores Markov chains and their applications in algorithms, focusing on user impatience and faithful sample generation.

Tagging (a.k.a. Sequence labeling)

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

Markov Chains: Applications and Coupled Chains

Covers Markov chains, coupled chains, and their applications, emphasizing the importance of irreducibility.

Markov Chains and Algorithm Applications

Explores Markov chains and algorithm applications, including exact simulation and Propp-Wilson algorithms.

Kirchhoff's Laws and DC Circuits

Explores Kirchhoff's laws in DC circuits, resistor analysis, and capacitor behavior.