株式会社極東書店トップ ＞ 商品一覧 ＞ Case-Based Predictions : An Axiomatic Approach to Prediction, Classification and Statistical Learning.
商品詳細
Case-Based Predictions : An Axiomatic Approach to Prediction, Classification and Statistical Learning. I.ギルボア、D.シュマイドラー著 事例に基づく予測
・ISBN 978-981-4366-17-5 hard US$ 137.00
￥32,099.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
お気に入り
★★★
電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-981-4366-18-2
| 著者・編者 | Gilboa, Itzhak / Schmeidler, D., |
|---|---|
| シリーズ | World Scientific Series in Economic Theory |
| 出版社 | (World Scientific, SI) |
| 出版年月 | 2012 |
| ページ数 | 309 pp. |
| 言語 | ENG |
| ニュース番号 | ＜590-304＞ |
解説
The book presents an axiomatic approach to the problems of prediction, classification, and statistical learning. Using methodologies from axiomatic decision theory, and, in particular, the authors' case-based decision theory, the present studies attempt to ask what inductive conclusions can be derived from existing databases. It is shown that simple consistency rules lead to similarity-weighted aggregation, akin to kernel-based methods. It is suggested that the similarity function be estimated from the data. The incorporation of rule-based reasoning is discussed.