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» Composing Adaptive Learning Systems
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ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
14 years 1 months ago
Adaptive Blocking: Learning to Scale Up Record Linkage
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
Mikhail Bilenko, Beena Kamath, Raymond J. Mooney
ECAI
2010
Springer
13 years 5 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 8 months ago
On the effects of node duplication and connection-oriented constructivism in neural XCSF
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
Gerard David Howard, Larry Bull
ICVS
2003
Springer
14 years 28 days ago
The Imalab Method for Vision Systems
We propose a method to construct computer vision systems using a workbench composed of a multi-faceted toolbox and a general purpose kernel. The toolbox is composed of an open set ...
Augustin Lux
SMI
2005
IEEE
111views Image Analysis» more  SMI 2005»
14 years 1 months ago
Smooth Adaptive Fitting of 3D Models Using Hierarchical Triangular Splines
The recent ability to measure quickly and inexpensively dense sets of points on physical objects has deeply influenced the way engineers used to represent shapes in CAD systems, ...
Alex Yvart, Stefanie Hahmann, Georges-Pierre Bonne...