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» The Robustness of Level Sets
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BMCBI
2008
98views more  BMCBI 2008»
15 years 6 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
DATAMINE
2007
110views more  DATAMINE 2007»
15 years 6 months ago
The complexity of non-hierarchical clustering with instance and cluster level constraints
Recent work has looked at extending clustering algorithms with instance level must-link (ML) and cannot-link (CL) background information. Our work introduces δ and ǫ cluster lev...
Ian Davidson, S. S. Ravi
GPEM
2002
95views more  GPEM 2002»
15 years 6 months ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith
VIS
2009
IEEE
246views Visualization» more  VIS 2009»
16 years 7 months ago
Supercubes: A High-Level Primitive for Diamond Hierarchies
Abstract-- Volumetric datasets are often modeled using a multiresolution approach based on a nested decomposition of the domain into a polyhedral mesh. Nested tetrahedral meshes ge...
Kenneth Weiss, Leila De Floriani
JNSM
2010
166views more  JNSM 2010»
15 years 1 months ago
High-Level Design Approach for the Specification of Cognitive Radio Equipments Management APIs
Cognitive Radio (CR) equipments are radio devices that support the smart facilities offered by future cognitive networks. Even if several categories of equipments exist (terminal,...
Christophe Moy