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- Volker Tresp, Michiaki Taniguchi
- NIPS
- 1994

This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input . We show that the weighting functions can be derived either by evaluating the input dependent variance of each estimator or by estimating how likely it is that a given estimator has seen data in the region of the input space… (More)

- Michiaki Taniguchi, Volker Tresp
- Neural Computation
- 1997

We compare the performance of averaged regularized estimators. We show that the improvement in performance which can be achieved by averaging depends critically on the degree of regularization which is used in training the individual estimators. We compare four different averaging approaches: simple averaging, bagging, variance-based weighting and… (More)

Fraud detection refers to the attempt to detect illegitimate usage of a communications network. Three methods to detect fraud are presented. Firstly, a feed-forward neural network based on supervised learning is used to learn a discriminative function to classify subscribers using summary statistics. Secondly, Gaussian mixture model is used to model the… (More)

- Michiaki Taniguchi, Michael Haft, Jaakko Hollmén, Volker Tresp
- ICASSP
- 1998

Fraud detection refers to the attempt to detect illegitimate usage of a communications network. Three methods to detect fraud are presented. Firstly, a feed-forward neural network based on supervised learning is used to learn a discriminative function to classify subscribers using summary statistics. Secondly, Gaussian mixture model is used to model the… (More)

In data mining and in classification specifically, cost issues have been undervalued for a long time, although they are of crucial importance in real-world applications. Recently, however, cost issues have received growing attention, see for example [1,2,3]. Cost-sensitive classifiers are usually based on the assumption of constant misclassification costs… (More)

- Michiaki Taniguchi, Volker Tresp
- ICANN
- 1997

In this paper, we present a system generating free-viewpoint video in real-time using multiple cameras and a PC-cluster. Our system firstly reconstructs a shape model of objects by the visual cone intersection method, secondly transforms the shape model represented in terms of a voxel form into a triangular patch form, thirdly colors vertexes of triangular… (More)

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