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» Computing LTS Regression for Large Data Sets
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ICML
2009
IEEE
16 years 1 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
IJCNN
2007
IEEE
16 years 19 days ago
Spectral Clustering of Synchronous Spike Trains
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
António R. C. Paiva, Sudhir Rao, Il Park, J...
ICANN
2007
Springer
16 years 15 days ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
ADMA
2006
Springer
172views Data Mining» more  ADMA 2006»
16 years 10 days ago
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honava...
GIS
2006
ACM
15 years 6 months ago
Swarming methods for geospatial reasoning
Geospatial data is often used to predict or recommend movements of robots, people, or animals ("walkers"). Analysis of such systems can be combinatorially explosive. Eac...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...