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KDD
2001
ACM
166views Data Mining» more  KDD 2001»
14 years 7 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
PPSN
2004
Springer
14 years 22 days ago
Indicator-Based Selection in Multiobjective Search
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Eckart Zitzler, Simon Künzli
GECCO
2007
Springer
241views Optimization» more  GECCO 2007»
14 years 1 months ago
Binary ant algorithm
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. Over these kind of ov...
Carlos Fernandes, Agostinho C. Rosa, Vitorino Ramo...
BMCBI
2005
90views more  BMCBI 2005»
13 years 7 months ago
TMB-Hunt: An amino acid composition based method to screen proteomes for beta-barrel transmembrane proteins
Background: Beta-barrel transmembrane (bbtm) proteins are a functionally important and diverse group of proteins expressed in the outer membranes of bacteria (both gram negative a...
Andrew G. Garrow, Alison Agnew, David R. Westhead
CORR
2008
Springer
156views Education» more  CORR 2008»
13 years 7 months ago
Artificial Immune Systems (AIS) - A New Paradigm for Heuristic Decision Making
Over the last few years, more and more heuristic decision making techniques have been inspired by nature, e.g. evolutionary algorithms, ant colony optimisation and simulated annea...
Uwe Aickelin