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» On space constrained set selection problems
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127
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ICML
2007
IEEE
16 years 1 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
CAISE
1999
Springer
15 years 4 months ago
Designing the Global Data Warehouse with SPJ Views
Abstract. A global Data warehouse (DW) integrates data from multiple distributed heterogeneous databases and other information sources. DW can be abstractly seen as a set of materi...
Dimitri Theodoratos, Spyros Ligoudistianos, Timos ...
108
Voted
TEC
2008
118views more  TEC 2008»
15 years 10 days ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
108
Voted
NIPS
2007
15 years 1 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...
AAAI
2010
15 years 1 months ago
Conformal Mapping by Computationally Efficient Methods
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
Stefan Pintilie, Ali Ghodsi