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DIS
2006
Springer
15 years 1 months ago
Incremental Algorithm Driven by Error Margins
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
Gonzalo Ramos-Jiménez, José del Camp...
SQJ
2008
94views more  SQJ 2008»
14 years 9 months ago
Simulation-based analysis of UML statechart diagrams: methods and case studies
- We present a comprehensive UML statechart diagram analysis framework. This framework allows one to progressively perform different analysis operations to analyze UML statechart d...
Jiexin Lian, Zhaoxia Hu, Sol M. Shatz
VIROLOGY
2008
84views more  VIROLOGY 2008»
14 years 9 months ago
Formal affordance-based models of computer virus reproduction
We present a novel classification of computer viruses using a formalised notion of reproductive models based on Gibson's theory of affordances. A computer virus reproduction ...
Matt Webster, Grant Malcolm
SIGKDD
2000
96views more  SIGKDD 2000»
14 years 9 months ago
Phenomenal Data Mining: From Data to Phenomena
Phenomenal data mining finds relations between the data and the phenomena that give rise to data rather than just relations among the data. For example, suppose supermarket cash r...
John McCarthy
JEI
2000
134views more  JEI 2000»
14 years 9 months ago
Pattern matching using the blur hit - miss transform
The usefulness of the hit-miss transform (HMT) and related transforms for pattern matching in document image applications is examined. Although the HMT is sensitive to the types o...
Dan S. Bloomberg, Luc Vincent