Sequence Extrapolation

Laird, Philip D.; Saul, Ronald

Sequence Extrapolation

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Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Machine Learning. Pages 1120-1126.

Abstract

We study sequence extrapolation as a machinelearning problem. Input examples come from a stream of data elements of a single type {integers, strings, etc.). Stream values are presented in order; the problem is to construct a hypothesis that explains the given values and predicts the subsequent ones. We define a new representation language for streams called elementary stream descriptions and present a unified algorithm that learns elementary streams over a generous family of data types that includes integers, lists, and strings. The algorithm has been implemented and an application targeted.

Philip D. Laird, and Ronald Saul. 1993. Sequence Extrapolation. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93. IJCAI, 1120–1126. https://ijcai.org/proceedings/1993/155

@inproceedings{ijcai1993p155,
  title     = {Sequence Extrapolation},
  author    = {Laird, Philip D. and Saul, Ronald},
  booktitle = {Proceedings of the Thirteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-93}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Ruzena Bajcsy},
  pages     = {1120--1126},
  year      = {1993},
  note      = {Machine Learning},
  url       = {https://ijcai.org/proceedings/1993/155},
}

TY  - CPAPER
TI  - Sequence Extrapolation
AU  - Laird, Philip D.
AU  - Saul, Ronald
T2  - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1993
SP  - 1120
EP  - 1126
UR  - https://ijcai.org/proceedings/1993/155
ER  -