TY - GEN

T1 - Prediction by compression

AU - Ratsaby, Joel

PY - 2011

Y1 - 2011

N2 - It is well known that text compression can be achieved by predicting the next symbol in the stream of text data based on the history seen up to the current symbol. The better the prediction the more skewed the conditional probability distribution of the next symbol and the shorter the codeword that needs to be assigned to represent this next symbol. What about the opposite direction? suppose we have a black box that can compress text stream. Can it be used to predict the next symbol in the stream? We introduce a novel criterion based on the length of the compressed data and use it to predict the next symbol. We examine empirically the prediction error rate and its dependency on some compression parameters.

AB - It is well known that text compression can be achieved by predicting the next symbol in the stream of text data based on the history seen up to the current symbol. The better the prediction the more skewed the conditional probability distribution of the next symbol and the shorter the codeword that needs to be assigned to represent this next symbol. What about the opposite direction? suppose we have a black box that can compress text stream. Can it be used to predict the next symbol in the stream? We introduce a novel criterion based on the length of the compressed data and use it to predict the next symbol. We examine empirically the prediction error rate and its dependency on some compression parameters.

KW - Data compression

KW - Statistical prediction

KW - Universal sequence prediction

UR - http://www.scopus.com/inward/record.url?scp=79958106148&partnerID=8YFLogxK

U2 - 10.2316/P.2011.721-010

DO - 10.2316/P.2011.721-010

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AN - SCOPUS:79958106148

SN - 9780889868656

T3 - Proceedings of the 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011

SP - 282

EP - 288

BT - Proceedings of the 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011

T2 - 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011

Y2 - 16 February 2011 through 18 February 2011

ER -