An Interactive Spreadsheet for Teaching the Forward-Backward Algorithm
By Jason Eisner. 2002
39 citations recorded by the source corpus.
This paper offers a detailed lesson plan on the forward-backward algorithm. The lesson is taught from a live, commented spreadsheet that implements the algorithm and graphs its behavior on a whimsical toy example. By experimenting with different inputs, one can help students develop intuitions about HMMs in particular and Expectation Maximization in general. The spreadsheet and a coordinated follow-up assignment are available.
Subfields: Artificial Intelligence
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In Artificial Intelligence
- Giuseppe Ateniese
- Luigi Vincenzo Mancini
- Angelo Spognardi
- Kui Ren
- Wenjing Lou
- Huaqun Wang
- Susan Hohenberger
- Qian Wang
Citations in the corpus
- Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers (2013, background): “ the outputs of the states are observed (the actual sequence of the states of the process cannot be directly observed). One of the most elegant examples to describe HMMs was conceived by Jason Eisner [26]: Suppose that, in the year 2799, a climate scientist is studying the weather in Baltimore Maryl”