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EC
2006
121views ECommerce» more  EC 2006»
14 years 11 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
ER
1995
Springer
120views Database» more  ER 1995»
15 years 2 months ago
Semantics of Time-Varying Attributes and their Use for Temporal Database Design
Based on a systematic study of the semantics of temporal attributes of entities, this paper provides new guidelines for the design of temporal relational databases. The notions of ...
Christian S. Jensen, Richard T. Snodgrass
68
Voted
ICSE
2009
IEEE-ACM
15 years 12 months ago
Discovering and representing systematic code changes
Software engineers often inspect program differences when reviewing others' code changes, when writing check-in comments, or when determining why a program behaves differentl...
Miryung Kim, David Notkin
BMCBI
2007
147views more  BMCBI 2007»
14 years 11 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...
AUSAI
2005
Springer
15 years 4 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb