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ICML
2006
IEEE
14 years 8 months ago
Optimal kernel selection in Kernel Fisher discriminant analysis
In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance...
Seung-Jean Kim, Alessandro Magnani, Stephen P. Boy...
IJCAI
2007
13 years 9 months ago
Learning Implied Global Constraints
Finding a constraint network that will be efficiently solved by a constraint solver requires a strong expertise in Constraint Programming. Hence, there is an increasing interest i...
Christian Bessière, Remi Coletta, Thierry P...
NIPS
2004
13 years 9 months ago
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...
SAC
2012
ACM
12 years 3 months ago
Local bandwidth selectors for deconvolution kernel density estimation
We consider kernel density estimation when the observations are contaminated by measurement errors. It is well known that the success of kernel estimators depends heavily on the c...
Achilleas Achilleos, Aurore Delaigle
CONSTRAINTS
2006
83views more  CONSTRAINTS 2006»
13 years 7 months ago
Applying Ad-hoc Global Constraints with the case Constraint to Still-Life
Abstract. The Still-Life problem is challenging for CP techniques because the basic constraints of the game of Life are loose and give poor propagation for Still-Life. In this pape...
Kenil C. K. Cheng, Roland H. C. Yap