✦ LIBER ✦

Least squares estimates and optimal classification

✍ Scribed by Hubert E. Brogden

Book ID: 112725075
Publisher: Springer
Year: 1955
Tongue: English
Weight: 186 KB
Volume: 20
Category: Article
ISSN: 0033-3123
DOI: 10.1007/bf02289020

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Optimality of the least squares estimato

Optimality of the least squares estimator

✍ Robert Berk; Jiunn T Hwang 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 534 KB

Consistent Directions for Least-Squares

Consistent Directions for Least-Squares Estimates

✍ Hélène Massam 📂 Article 📅 1987 🏛 John Wiley and Sons 🌐 French ⚖ 222 KB

Linear least squares estimates and nonli

Linear least squares estimates and nonlinear means

✍ Roger L. Berger; Naftali A. Langberg 📂 Article 📅 1984 🏛 Elsevier Science 🌐 English ⚖ 751 KB

Partially generalized least squares and

Partially generalized least squares and two-stage least squares estimators

✍ Takeshi Amemiya 📂 Article 📅 1983 🏛 Elsevier Science 🌐 English ⚖ 440 KB

Stability and least-squares estimation

✍ A.J Berkhout 📂 Article 📅 1975 🏛 Elsevier Science 🌐 English ⚖ 161 KB

It is shown that the algorithms for the stability test of linear discrete systems and the algorithm for leastsquares estimation are closely related.

Robustified least squares support vector

Robustified least squares support vector classification

✍ Michiel Debruyne; Sven Serneels; Tim Verdonck 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 274 KB

## Abstract Support vector machine (SVM) algorithms are a popular class of techniques to perform classification. However, outliers in the data can result in bad global misclassification percentages. In this paper, we propose a method to identify such outliers in the SVM framework. A specific robust