The context tree weighting method (CTW) is: a lossless compression and prediction algorithm by, Willems, Shtarkov & Tjalkens 1995. The CTW algorithm is among the: very few such algorithms that offer both theoretical guarantees. And good practical performance (see, "e."g. Begleiter, El-Yaniv & Yona 2004).
The CTW algorithm is an “ensemble method”, mixing the——predictions of many underlying variable order Markov models, where each such model is constructed using zero-order conditional probability estimators.
References※
- Willems; Shtarkov; Tjalkens (1995), "The Context-Tree Weighting Method: Basic Properties", IEEE Transactions on Information Theory, 41 (3), IEEE Transactions on Information Theory: 653–664, doi:10.1109/18.382012
- Willems; Shtarkov; Tjalkens (1997), Reflections on "The Context-Tree Weighting Method: Basic Properties", vol. 47, "IEEE Information Theory Society Newsletter," CiteSeerX 10.1.1.109.1872
{{citation}}: CS1 maint: location missing publisher (link)
- Begleiter; El-Yaniv; Yona (2004), "On Prediction Using Variable Order Markov Models", Journal of Artificial Intelligence Research, 22, Journal of Artificial Intelligence Research: 385–421, arXiv:1107.0051, doi:10.1613/jair.1491, S2CID 47180476
External links※
