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» Learning Taxonomies by Dependence Maximization
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 5 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
FOIS
2006
15 years 1 months ago
Against Idiosyncrasy in Ontology Development
The world of ontology development is full of mysteries. Recently, ISO Standard 15926 ("Lifecycle Integration of Process Plant Data Including Oil and Gas Production Facilities&...
Barry Smith
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 1 months ago
Context-dependent predictions and cognitive arm control with XCSF
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
Martin V. Butz, Oliver Herbort
ACCV
2007
Springer
15 years 6 months ago
High Capacity Watermarking in Nonedge Texture Under Statistical Distortion Constraint
High-capacity image watermarking scheme aims at maximize bit rate of hiding information, neither eliciting perceptible image distortion nor facilitating special watermark attack. T...
Fan Zhang, Wenyu Liu, Chunxiao Liu
ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
15 years 4 months ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...