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JMLR
2006
120views more  JMLR 2006»
13 years 8 months ago
Kernel-Based Learning of Hierarchical Multilabel Classification Models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Juho Rousu, Craig Saunders, Sándor Szedm&aa...
BTW
2005
Springer
108views Database» more  BTW 2005»
14 years 2 months ago
Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server
: User-defined data types such as intervals require specialized access methods to be efficiently searched and queried. As database implementors cannot provide appropriate index str...
Christoph Brochhaus, Jost Enderle, Achim Schlosser...
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
14 years 9 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
ENTCS
2002
115views more  ENTCS 2002»
13 years 8 months ago
Component-Based Applications: A Dynamic Reconfiguration Approach with Fault Tolerance Support
This paper presents a mechanism for dynamic reconfiguration of component-based applications and its fault tolerance strategy. The mechanism, named generic connector, allows compos...
Thaís Vasconcelos Batista, Milano Gadelha C...
GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
14 years 1 months ago
Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Allan Tucker, Xiaohui Liu, David Garway-Heath