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IDEAL
2000
Springer
15 years 11 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
TOOLS
1998
IEEE
15 years 11 months ago
Designing Persistent Object-Oriented Software Architectures
Conventional object-oriented analysis delivers a business object model, which is transformed during design into collaborating class clusters which implement the business model...
Paul Taylor
175
Voted
IWMM
2000
Springer
82views Hardware» more  IWMM 2000»
15 years 11 months ago
The Case for Profile-Directed Selection of Garbage Collectors
Many garbage-collected systems use a single garbage collection algorithm across all applications. It has long been known that this can produce poor performance on applications for...
Robert P. Fitzgerald, David Tarditi
ACCV
1995
Springer
15 years 11 months ago
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition
—Many recognition procedures rely on the consistency of a subset of data features with a hypothesis as the sufficient evidence to the presence of the corresponding object. We ana...
Michael Lindenbaum
SSPR
2000
Springer
15 years 11 months ago
The Role of Combining Rules in Bagging and Boosting
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
Marina Skurichina, Robert P. W. Duin
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