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NIPS
1998
14 years 11 months ago
Dynamically Adapting Kernels in Support Vector Machines
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
Nello Cristianini, Colin Campbell, John Shawe-Tayl...
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
14 years 11 months ago
Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution
This paper presents a theoretical definition for designing EDAs called Elitist Convergent Estimation of Distribution Algorithm (ECEDA), and a practical implementation: the Boltzm...
Sergio Ivvan Valdez Peña, Arturo Hern&aacut...
ICML
2010
IEEE
14 years 11 months ago
Robust Subspace Segmentation by Low-Rank Representation
We propose low-rank representation (LRR) to segment data drawn from a union of multiple linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank represe...
Guangcan Liu, Zhouchen Lin, Yong Yu
ICASSP
2010
IEEE
14 years 10 months ago
Convergence behavior of the Active Mask segmentation algorithm
We study the convergence behavior of the Active Mask (AM) framework, originally designed for segmenting punctate image patterns. AM combines the flexibility of traditional active...
Doru-Cristian Balcan, Gowri Srinivasa, Matthew C. ...
JAR
2008
81views more  JAR 2008»
14 years 9 months ago
Automatic Symmetry Detection for Promela
We introduce a specification language, Promela-Lite, which captures the essential features of Promela but which, unlike Promela, has a formally defined semantics. We show how we ca...
Alastair F. Donaldson, Alice Miller