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NN
2002
Springer
125views Neural Networks» more  NN 2002»
15 years 3 months ago
Generalized relevance learning vector quantization
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
Barbara Hammer, Thomas Villmann
JMLR
2008
188views more  JMLR 2008»
15 years 3 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
PKDD
2010
Springer
177views Data Mining» more  PKDD 2010»
15 years 2 months ago
ITCH: Information-Theoretic Cluster Hierarchies
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
Christian Böhm, Frank Fiedler, Annahita Oswal...
ENTCS
2010
96views more  ENTCS 2010»
15 years 1 months ago
Programming in Biomolecular Computation
Our goal is to provide a top-down approach to biomolecular computation. In spite of widespread discussion about connections between biology and computation, one question seems not...
Lars Hartmann, Neil D. Jones, Jakob Grue Simonsen
TIM
2010
144views Education» more  TIM 2010»
14 years 10 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta