Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis (2008)
Blaschko, M.B., Lampert, C.H., Gretton, A., Daelemans, W., Goethals, B., Morik, K.
Kernel canonical correlation analysis (KCCA) is a dimensionality reduction technique for paired data. By finding directions that maximize correlation, KCCA learns representations that are more...
Distribution-free Learning of Bayesian Network Structure (2008)
Sun, X., Daelemans, W., Goethals, B., Morik, K.
We present an independence-based method for learning Bayesian network (BN) structure without making any assumptions on the probability distribution of the domain. This is mainly useful for continuous...
Assessing Nonlinear Granger Causality from Multivariate Time Series (2008)
Sun, X., Daelemans, W., Goethals, B., Morik, K.
A straightforward nonlinear extension of Grangers concept of causality in the kernel framework is suggested. The kernel-based approach to assessing nonlinear Granger causality in multivariate time...
Novak, J., Fleischmann, M., Strauss, W., Schneider, M., Wurst, M., Morik, K., ...
This paper presents an approach to exploring how implicit knowledge structures in different communities of experts can be discovered, visualised and employed for semantic navigation of information...
Knowledge Discovery and Knowledge Navigation in Intensive Care (2000)
Morik, K., Imhoff, M., Brockhausen, P., Joachims, T., Gather, U.
Teaching and understanding intelligent service robots: A Machine Learning Approach (1995)
R. Dillmann, M. Kaiser, V. Klingspor, K. Morik, F. Wallner
. One of the most important aspects in service robotics is the communication of service robots with their users. Since these users must in general be considered as not familiar with either robots or...
Teaching and understanding intelligent service robots: A Machine Learning Approach (1995)
R. Dillmann, M. Kaiser, V. Klingspor, K. Morik, F. Wallner
Abstract. One of the most important aspects in service robotics is the communication of service robots with their users. Since these users must in general be considered as not familiar with either...
What online machine learning can do for knowledge acquisition - a case study (1994)
Sommer, E., Morik, K., Uszynski, M.
This paper reports on the development of a realistic knowledge-based application using the MOBAL system. Some problems and requirements resulting from industrial-caliber tasks are formulated. A...
Balanced cooperative modeling (1993)
Machine learning techniques are often used for supporting a knowledge engineer in constructing a model of part of the world. Different learning algorithms contribute to different tasks within the...