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SSPR
1998
Springer
13 years 9 months ago
Multi-interval Discretization Methods for Decision Tree Learning
Properly addressing the discretization process of continuos valued features is an important problem during decision tree learning. This paper describes four multi-interval discreti...
Petra Perner, Sascha Trautzsch
SSPR
1998
Springer
13 years 9 months ago
Modified Minimum Classification Error Learning and Its Application to Neural Networks
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
Hiroshi Shimodaira, Jun Rokui, Mitsuru Nakai
SSPR
1998
Springer
13 years 9 months ago
Regularization by Adding Redundant Features
The Pseudo Fisher Linear Discriminant (PFLD) based on a pseudo-inverse technique shows a peaking behaviour of the generalization error for training sample sizes that are about the...
Marina Skurichina, Robert P. W. Duin
SSPR
1998
Springer
13 years 9 months ago
Tracking of Rotating Objects
Abstract. A representation of a three-dimensional object is autonomously learned from a sequence of the rotating object. The representation consists of single views in form of grap...
Gabriele Peters, Christian Eckes, Christoph von de...
SSPR
1998
Springer
13 years 9 months ago
A Statistical Clustering Model and Algorithm
In this paper, a statistical clustering model and algorithm have been discussed. Finding the optimal solution to clustering problem is transformed into simulating the equilibrium ...
Guangwen Yang, Weimin Zheng, Dingxing Wang