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» A Support Vector Clustering Method
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160
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SAGA
2007
Springer
15 years 9 months ago
Probabilistic Techniques in Algorithmic Game Theory
We consider applications of probabilistic techniques in the framework of algorithmic game theory. We focus on three distinct case studies: (i) The exploitation of the probabilistic...
Spyros C. Kontogiannis, Paul G. Spirakis
122
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 9 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
200
Voted
BMCBI
2006
202views more  BMCBI 2006»
15 years 3 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau
127
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SIGGRAPH
2009
ACM
15 years 10 months ago
RACBVHs: random-accessible compressed bounding volume hierarchies
We present a novel bounding volume hierarchy (BVH) compression and decompression method transparently supporting random access on the compressed BVHs. To support random access on ...
Tae-Joon Kim, Bochang Moon, Duksu Kim, Sung-Eui Yo...
143
Voted
APIN
2006
168views more  APIN 2006»
15 years 3 months ago
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
Mehmet Kaya, Reda Alhajj