Exploring Interval Mapping with the EM Algorithm in Machine Learning

Jan 29, 2026

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This document delves into interval mapping techniques utilizing the Expectation-Maximization (EM) algorithm, focusing on their applications and theoretical foundations in machine learning. The EM algorithm is pivotal for handling missing data and optimizing complex models, making it a valuable tool in various domains including bioinformatics and natural language processing. The provided resources include detailed readings that enhance understanding of the EM algorithm, with insights into its implementation and effectiveness across different scenarios.

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Exploring Interval Mapping with the EM Algorithm in Machine Learning

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Class 4 • Interval mapping • EM algorithm • http://aass.oru.se/~tdt/ml/extra-readings/EM_algorithm.pdf • http://ssli.ee.washington.edu/people/bulyko/papers/em.pdf