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186
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GECCO
2007
Springer
16 years 1 months ago
2007
Springer
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
224
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GECCO
2007
Springer
16 years 1 months ago
2007
Springer
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
164
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LTCONF
2007
Springer
16 years 29 days ago
2007
Springer
Recent work in sentiment analysis has begun to apply fine-grained semantic distinctions between expressions of attitude as features for textual analysis. Such methods, however, r...
173
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ICDM
2006
IEEE
16 years 26 days ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
199
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ITNG
2006
IEEE
16 years 25 days ago
2006
IEEE
The huge volumes of biomedical texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. ...