122
click to vote
IDEAL
2000
Springer
15 years 7 months ago
2000
Springer
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...
123
click to vote
IDEAL
2000
Springer
15 years 7 months ago
2000
Springer
Abstract. We present a clustering method for continuous data. It defines local clusters into the (primary) data space but derives its similarity measure from the posterior distribu...
123
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IDEAL
2000
Springer
15 years 7 months ago
2000
Springer
Generalization of the covariance concept is discussed for mixed categorical and numerical data. Gini's definition of variance for categorical data gives us a starting point to...
120
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PLDI
1998
ACM
15 years 7 months ago
1998
ACM
Achieving good performance in bytecoded language interpreters is di cult without sacri cing both simplicity and portability. This is due to the complexity of dynamic translation (...