Ulrike Von Luxburg, Aus Tübingen, Von Fakultät, Iv Elektrotechnik Informatik, Vorsitzender Prof, Dr. F. Wysotzki, ...
vorgelegt von
Aspects of Noisy Neural Information Processing (2004)
Gregor Wenning, Aus Münster, Vorsitzender Prof, Dr. F. Wysotzki, Berichter Prof, Dr. K. Obermayer, ...
anhand von theoretischen Modellstudien untersucht. Von besonderem
Doktor Der Naturwissenschaften, Vorsitzender Prof, Dr. F. Wysotzki, Berichter Prof, Dr. K. Obermayer, ...
and prediction with large incomplete and heterogeneous datasets
Applied connectionistic methods in computer vision to compare segmented images (2003)
Bischoff, S., Reuss, D., Wysotzki, F.
Two similarity measures to compare whole and parts of images are proposed. These measures consider the color, shape and texture properties of image segments as well as their relative positions...
A New Distance Measure for Segmented Images Based on MPEG-7 Descriptors (2002)
A new distance measure to compare whole and parts of images is proposed. This measure considers the color, shape and texture properties of image segments as well as their relative positions mutually.
This paper outlines an approach for generating a series of optimal control actions in processes, which cannot (or can only partly) be modelled mathematically, by combining learning with problem...
The piecewise linear classifier DIPOL92 (1994)
Schulmeister, B., Wysotzki, F.
This paper presents a learning algorithm which constructs an optimised piecewise linear classifier for nclass problems. In the first step of the algorithm initial positions of the discriminating...
Lernfähige Klassifikation von Zeitreihen (1994)
Holistic classification methods are presented, i.e., similarity measures will be used but no description of the curves by feature vectors of fixed length. Two different methods are adapted:...
Automatic construction of decision trees for classification (1994)
An algorithm for learning decision trees for classification and prediction is described which converts realvalued attributes into intervals using statistical considerations. The trees are...
Merkmalsbildung und lernfähige Klassifikation von Zeitreihen (1993)
In the paper classification methods for time series with a high number of measured values are developed. The measurements can be noised. Therefore, the use of classification methods is not possible...
Machine learning by constructing decision trees including cost functions (1993)
Machine learning is now in a state to get major industrial applications. The most important application fields are diagnosis and prediction being special forms of classification. One approach to...
Machine learning and its application to process control (1992)
Methods of Machine Learning - a main topic of AI- research-are to day in a state to get major industrial applications. They can be especially applied to the analysis, diagnosis and control of...
Anwendungen von Lernverfahren in der Prozeßdiagnose (1992)
Verfahren des maschinellen Lernens sind in der Zeichenerkennung und Künstlichen Intelligenz seit den 60iger Jahren untersucht worden. Sie haben heute eine Reife erreicht, die zu ersten erfolgreichen...