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FUZZIEEE
2007
IEEE
15 years 4 months ago
Adaptive Optimization of the Number of Clusters in Fuzzy Clustering
In this paper, we present a local, adaptive optimization scheme for adjusting the number of clusters in fuzzy C-means clustering. This method is especially motivated by online app...
Jürgen Beringer, Eyke Hüllermeier
ITS
2010
Springer
542views Multimedia» more  ITS 2010»
14 years 7 months ago
A Case-Based Reasoning Approach to Provide Adaptive Feedback in Microworlds
This paper presents a case-based reasoning (CBR) approach to provide adaptive support in microworlds. Interaction in microworlds is complex and unstructured, making the analysis of...
Sergio Gutiérrez Santos, Mihaela Cocea, Geo...
CIG
2005
IEEE
15 years 3 months ago
Adapting Reinforcement Learning for Computer Games: Using Group Utility Functions
AbstractGroup utility functions are an extension of the common team utility function for providing multiple agents with a common reinforcement learning signal for learning cooperat...
Jay Bradley, Gillian Hayes
GECCO
2004
Springer
15 years 3 months ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer
ICISP
2010
Springer
15 years 2 months ago
Determining Dominant Frequency with Data-Adaptive Windows
Abstract. Measurement of activation rates in cardiac electrograms is commonly done though estimating the frequency of the sinusoid with the greatest power. This frequency, commonly...
Gagan Mirchandani, Shruti Sharma