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» Modeling Problem Transformations based on Data Complexity
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ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 6 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
16 years 21 days ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
ECML
2007
Springer
16 years 21 days ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
EDBT
2008
ACM
150views Database» more  EDBT 2008»
16 years 6 months ago
Cost-based query optimization for complex pattern mining on multiple databases
For complex data mining queries, query optimization issues arise, similar to those for the traditional database queries. However, few works have applied the cost-based query optim...
Ruoming Jin, David Fuhry, Abdulkareem Alali
IMAGING
2003
15 years 8 months ago
Spectral Color Processing Using an Interim Connection Space
The use of an Interim Connection Space (ICS) is proposed as a means for extending the concept of device independent color management to support spectral imaging. Color management,...
Mitchell R. Rosen, Noboru Ohta