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KDD
2004
ACM
164views Data Mining» more  KDD 2004»
14 years 5 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
WCRE
2003
IEEE
13 years 10 months ago
Revealing Class Structure with Concept Lattices
This paper promotes the use of a mathematical concept lattice based upon the binary relation of accesses between methods and fields as a novel visualization of individual JAVA cl...
Uri Dekel, Yossi Gil
AMAI
2007
Springer
13 years 5 months ago
Relational concept discovery in structured datasets
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as d...
Marianne Huchard, Mohamed Rouane Hacene, Cyril Rou...
ECCC
2006
96views more  ECCC 2006»
13 years 4 months ago
When Does Greedy Learning of Relevant Features Succeed? --- A Fourier-based Characterization ---
Detecting the relevant attributes of an unknown target concept is an important and well studied problem in algorithmic learning. Simple greedy strategies have been proposed that s...
Jan Arpe, Rüdiger Reischuk