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ILP
2007
Springer
16 years 4 days ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
IWCLS
2007
Springer
16 years 4 days ago
Evolving Fuzzy Rules with UCS: Preliminary Results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. FuzzyUCS combines the generalization capabilities of UCS w...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
KES
2007
Springer
16 years 4 days ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan
KI
2007
Springer
16 years 4 days ago
Negation in Spatial Reasoning
How do we reason about spatial descriptions? In recent years a lot of research has been investigated in order to determine factors of complexity in spatial relational reasoning. S...
Stefan Schleipen, Marco Ragni, Thomas Fangmeier
PCM
2007
Springer
169views Multimedia» more  PCM 2007»
16 years 3 days ago
Random Subspace Two-Dimensional PCA for Face Recognition
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...
Nam Nguyen, Wanquan Liu, Svetha Venkatesh