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Learning: Sparse Spaces and Phonological Generalization
Investigate how AI systems generalize from sparse data, using the example of phonological rules in language to illustrate learning in distinctive feature spaces.
Investigate how AI systems generalize from sparse data, using the example of phonological rules in language to illustrate learning in distinctive feature spaces.
MIT 6.034 Artificial Intelligence, Fall 2010
Why do "cats" and "dogs" end with different plural sounds, and how do we learn this? We can represent this problem in terms of distinctive features, and then generalize. We end this lecture with a brief discussion of how to approach AI problems.
Learning: Near Misses and Felicity Conditions in AI
Final session in this series