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ICTAI
2009
IEEE
14 years 2 months ago
A Multi-objective Genetic Algorithm for Community Detection in Networks
A multiobjective genetic algorithm to uncover community structure in complex network is proposed. The algorithm optimizes two objective functions able to identify densely connecte...
Clara Pizzuti
EMO
2005
Springer
68views Optimization» more  EMO 2005»
14 years 1 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
PAKDD
2009
ACM
149views Data Mining» more  PAKDD 2009»
14 years 8 days ago
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
Ke Zhang, Marcus Hutter, Huidong Jin
ERSHOV
2006
Springer
13 years 11 months ago
On the Importance of Parameter Tuning in Text Categorization
Abstract. Text Categorization algorithms have a large number of parameters that determine their behaviour, whose effect is not easily predicted objectively or intuitively and may v...
Cornelis H. A. Koster, Jean Beney
ICCAD
1994
IEEE
119views Hardware» more  ICCAD 1994»
13 years 11 months ago
Adaptive cut line selection in min-cut placement for large scale sea-of-gates arrays
We present a new min-cut based placement algorithm for large scale sea-of-gates arrays. In the past all such algorithms used a xed cut line sequence that is determined before min...
Kazuhiro Takahashi, Kazuo Nakajima, Masayuki Terai...