@inproceedings{a942a2b9f7d04b60bdafd318daf7799f,
title = "Structured weight-based prediction algorithms",
abstract = "Reviewing structured weight-based prediction algorithms (SWP for short) due to Takimoto, Maruoka and Vovk, we present underlying design methods for constructing a variety of on-line prediction algorithms based on the SWP. In particular, we shown how the typical expert model where the experts are considered to be arranged on one layer can be generalized to the case where they are laid on a tree structure so that the expert model can be applied to search for the best pruning in a straightforward fashion through dynamic programming scheme.",
author = "Akira Maruoka and Eiji Takimoto",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1998.; 9th International Conference on Algorithmic Learning Theory, ALT 1998 ; Conference date: 08-10-1998 Through 10-10-1998",
year = "1998",
doi = "10.1007/3-540-49730-7\_10",
language = "English",
isbn = "354065013X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "127--142",
editor = "Richter, \{Michael M.\} and Smith, \{Carl H.\} and Rolf Wiehagen and Thomas Zeugmann",
booktitle = "Algorithmic Learning Theory - 9th International Conference, ALT 1998, Proceedings",
address = "Germany",
}