1766 search results - page 205 / 354 » Classifier Selection Based on Data Complexity Measures |
129
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IWPSE
2005
IEEE
15 years 7 months ago
2005
IEEE
Visualizing software evolution is essential for identifying design erosions that have occurred over the past releases. Making evolutionary aspects explicit via visual representati...
124
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IGIS
1994
15 years 5 months ago
1994
There have been many interpolation methods developed over the years, each with their own problems. One of the biggest limitations in many applications is the non-correspondence of...
134
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WWW
2006
ACM
16 years 2 months ago
2006
ACM
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
119
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BMCBI
2006
15 years 1 months ago
2006
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
207
Voted
ICDE
1999
IEEE
16 years 3 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...