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IJCNN
2008
IEEE
14 years 3 months ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris
EMNLP
2006
13 years 10 months ago
Quality Assessment of Large Scale Knowledge Resources
This paper presents an empirical evaluation of the quality of publicly available large-scale knowledge resources. The study includes a wide range of manually and automatically der...
Montse Cuadros, German Rigau
TEC
2008
149views more  TEC 2008»
13 years 8 months ago
Biogeography-Based Optimization
Abstract--We propose a novel variation to biogeographybased optimization (BBO), which is an evolutionary algorithm (EA) developed for global optimization. The new algorithm employs...
Dan Simon
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
14 years 9 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
SIAMIS
2010
283views more  SIAMIS 2010»
13 years 3 months ago
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
Ernie Esser, Xiaoqun Zhang, Tony F. Chan