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Universal piecewise linear prediction via context trees
Suleyman S. Kozat
,
Andrew C. Singer
, Georg Christoph Zeitler
Electrical and Computer Engineering
Coordinated Science Lab
Industrial and Enterprise Systems Engineering
Beckman Institute for Advanced Science and Technology
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Keyphrases
Affine Model
25%
Algorithm Approach
25%
Best Linear Predictor
25%
Competitive Algorithm
25%
Context Tree
100%
Doubly Exponential
25%
Entire Sequence
50%
Error Performance
25%
Exponential numbers
25%
High-order
25%
Individual Sequences
25%
Linear Prediction
100%
Linear Predictor
50%
Partitioning Method
25%
Piecewise Linear
100%
Piecewise Linear Model
25%
Prediction Algorithms
50%
Prediction Parameters
25%
Regressor
25%
Regret
50%
Scalar
50%
Squared Prediction Error
50%
Mathematics
Best Linear Predictor
20%
Linear Models
20%
Linear Prediction
100%
Linear Predictor
40%
Piecewise Linear
100%
Prediction Algorithm
40%
Regressors
20%
Scalar Case
20%
Squared Prediction Error
40%
Upper Bound
20%
Computer Science
Algorithmic Description
20%
Entire Sequence
40%
Exponential Number
20%
Linear Predictor
60%
piecewise linear
100%
Prediction Error
40%