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DATAMINE
1999
108views more  DATAMINE 1999»
15 years 4 months ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri
PR
2002
108views more  PR 2002»
15 years 4 months ago
Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
André Jalobeanu, Laure Blanc-Féraud,...
CG
2010
Springer
15 years 2 months ago
A Principled Method for Exploiting Opening Books
We used in the past a lot of computational power and human expertise for having a very big dataset of good 9x9 Go games, in order to build an opening book. We improved a lot the al...
Romaric Gaudel, Jean-Baptiste Hoock, Julien Perez,...
PRL
2011
14 years 11 months ago
Consistency of functional learning methods based on derivatives
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...
Fabrice Rossi, Nathalie Villa-Vialaneix
TFS
2010
152views Education» more  TFS 2010»
14 years 11 months ago
Robust Optimal Reference-Tracking Design Method for Stochastic Synthetic Biology Systems: T-S Fuzzy Approach
At present, the development in the nascent field of synthetic gene networks is still difficult. Most newly created gene networks are nonfunctioning due to intrinsic parameter fluct...
Bor-Sen Chen, Chih-Hung Wu