Quantitative emergence--A refined approach based on divergence measures
D Fisch, M Jänicke, B Sick… - 2010 Fourth IEEE …, 2010 - computer.org
The article addresses the phenomenon of emergence from a technical viewpoint. A
technical system exhibits emergence when it has certain kinds of properties or qualities that …
technical system exhibits emergence when it has certain kinds of properties or qualities that …
On the versatility of radial basis function neural networks: A case study in the field of intrusion detection
D Fisch, A Hofmann, B Sick - Information Sciences, 2010 - Elsevier
Classifiers based on radial basis function neural networks have a number of useful
properties that can be exploited in many practical applications. Using sample data, it is …
properties that can be exploited in many practical applications. Using sample data, it is …
Linking Gamification, Ludology and Pedagogy: Principles to Design a Serious Game.
Education is shifting towards a more technology focused mode of delivery, or at least
combining technology use with standard methods. A potential effect of this could be the …
combining technology use with standard methods. A potential effect of this could be the …
Local fog detection based on saturation and RGB-correlation
S Alami, A Ezzine, F Elhassouni - 2016 13th International …, 2016 - ieeexplore.ieee.org
Fog is a natural and meteorological phenomenon that seems to be very dangerous for road
driving. In its presence, the driver has a high perturbation in his field of view and must …
driving. In its presence, the driver has a high perturbation in his field of view and must …
Learning from others: Exchange of classification rules in intelligent distributed systems
D Fisch, M Jänicke, E Kalkowski, B Sick - Artificial Intelligence, 2012 - Elsevier
Learning by an exchange of knowledge and experiences enables humans to act efficiently
in a very dynamic environment. Thus, it would be highly desirable to enable intelligent …
in a very dynamic environment. Thus, it would be highly desirable to enable intelligent …
Techniques for knowledge acquisition in dynamically changing environments
D Fisch, D Fisch, M Jänicke, E Kalkowski… - ACM Transactions on …, 2012 - dl.acm.org
Intelligent agents often have the same or similar tasks and sometimes they cooperate to
solve a given problem. These agents typically know how to observe their local environment …
solve a given problem. These agents typically know how to observe their local environment …
So near and yet so far: new insight into properties of some well-known classifier paradigms
D Fisch, B Kühbeck, B Sick, SJ Ovaska - Information Sciences, 2010 - Elsevier
This article provides some new insight into the properties of four well-established classifier
paradigms, namely support vector machines (SVM), classifiers based on mixture density …
paradigms, namely support vector machines (SVM), classifiers based on mixture density …
Collaborative learning by knowledge exchange
D Fisch, E Kalkowski, B Sick - Organic Computing—A Paradigm Shift for …, 2011 - Springer
Humans act efficiently in a dynamic environment by learning from each other. Thus, it would
be highly desirable to enable intelligent distributed systems, eg, multi-agent systems, smart …
be highly desirable to enable intelligent distributed systems, eg, multi-agent systems, smart …
Novelty detection applied to the classification problem using probabilistic neural network
B Yadav, VS Devi - 2014 IEEE Symposium on Computational …, 2014 - ieeexplore.ieee.org
A novel pattern is an observation which is different as compared to the rest of the data. The
task of novelty detection is to build a model which identifies novel patterns from a data set …
task of novelty detection is to build a model which identifies novel patterns from a data set …
Divergence measures as a generalised approach to quantitative emergence
D Fisch, M Jänicke, C Müller-Schloer, B Sick - Organic Computing—A …, 2011 - Springer
A technical system exhibits emergence when it has certain properties or qualities that can be
termed to be irreducible in the sense that they are not traceable down to the constituent parts …
termed to be irreducible in the sense that they are not traceable down to the constituent parts …