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IDA
2001
Springer

Fluent Learning: Elucidating the Structure of Episodes

14 years 4 months ago
Fluent Learning: Elucidating the Structure of Episodes
Fluents are logical descriptions of situations that persist, andcompositefluents are statistically significant temporal relationships(nearlyidentical withthosein Allen’stemporal calculus) betweenfluents. Thispaperpresentsan algorithm for learningcompositefluents incrementally.Thealgorithm is tested witha large datasetof mobilerobotepisodes.The algorithmis givennoknowledgeof the episodicstructure of the dataset (i.e., it learns withoutsupervision) yet discoversfluents that correspondwell withepisodes.More generally,the algorithmelucidateshiddenstructure in time seriesof binaryvectors.
Paul R. Cohen
Added 30 Jul 2010
Updated 30 Jul 2010
Type Conference
Year 2001
Where IDA
Authors Paul R. Cohen
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