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» A New Autocalibration Algorithm: Experimental Evaluation
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KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 8 days ago
Multi-class cost-sensitive boosting with p-norm loss functions
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
Aurelie C. Lozano, Naoki Abe
EDBT
2008
ACM
154views Database» more  EDBT 2008»
15 years 12 months ago
Ring-constrained join: deriving fair middleman locations from pointsets via a geometric constraint
We introduce a novel spatial join operator, the ring-constrained join (RCJ). Given two sets P and Q of spatial points, the result of RCJ consists of pairs p, q (where p P, q Q) ...
Man Lung Yiu, Panagiotis Karras, Nikos Mamoulis
SAC
2009
ACM
15 years 6 months ago
A gradient oriented recombination scheme for evolution strategies
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....
Haifeng Chen, Guofei Jiang
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
15 years 6 months ago
A hybrid GA for a supply chain production planning problem
The problem of production and delivery lot-sizing and scheduling of set of items in a two-echelon supply chain over a finite planning horizon is addressed in this paper. A single ...
Masoud Jenabi, S. Ali Torabi, S. Afshin Mansouri
ICDM
2005
IEEE
150views Data Mining» more  ICDM 2005»
15 years 5 months ago
Combining Multiple Clusterings by Soft Correspondence
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu