-
Notifications
You must be signed in to change notification settings - Fork 1
/
NEWS
15 lines (9 loc) · 933 Bytes
/
NEWS
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Package: evclass
Title: Evidential Distance-Based Classification
Changes in version 2.0.2
* The line "@aliases evclass-package" has been added in file "evclass.R" to facilitate access to the documentation.
Changes in version 2.0.1
* Correction of a bug in function kNNfit that created an error when argument 'optimize' was set to 'FALSE'. Correction of a few typos in the documentation.
Changes in version 2.0.0
* Implementation of radial basis function neural network classifiers.
* Functions to express the outputs of trained logistic regression or feed-forward neural network classifiers as Dempster-Shafer mass functions. (These methods are based on an interpretation of the operations performed in neural networks as the combination of weights of evidence by Dempster's rule, see: "T. Denoeux, Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective. Knowledge-Based Systems 176:54-67, 2019").